{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP\LogAppendixTablesFigures.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 3 Jun 2021, 10:25:27
{txt}
{com}. 
. 
. **************************************
. ***TABLE A.1 - Members' Exit by Death
. **************************************
. 
. use indivmemberslima.dta, clear
{txt}
{com}. 
. sort entry
{txt}
{com}. 
. list name birthspain birthlima purchase if death==1

     {txt}{c TLC}{hline 63}{c TT}{hline 10}{c TRC}
  1. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                    NUÑEZ DE SANABRIA, Miguel {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
  2. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}    CALDERON DE LA BARCA, Juan Fernando (Conde de las Torres) {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
  3. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}            SANTIAGO CONCHA, José de (Marqués de Casa Concha) {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
  4. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                    PEREZ DE URQUIZU, Juan de {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
  5. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                             PAREDES Y ARMENDARIZ, Nicolás de {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
  9. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                           ORUETA Y IRUXTA, Juan Bautista de  {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 10. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                     PERALTA Y SANABRIA, Juan {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 17. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                ROJAS Y ACEVEDO, Francisco de {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 18. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                    CAVERO DE FRANCIA, Alvaro {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 19. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                   BERNARDO DE QUIROS, Alvaro {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 20. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                      FAJARDO, Felipe Nicolás {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 22. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}           CEBALLOS GUERRA, José Damian (Conde de las Torres) {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 23. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                      SALAZAR Y CASTEJON, Francisco Xavier de {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 24. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                ECHAVE Y ROJAS, Pedro Antonio {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 25. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}ECHAVARRIA ZULOAGA, Juan Bautista de (Marqués de Sotohermoso) {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 26. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                                  BRUN, Tomás {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 27. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                BARCENA Y MIER, Miguel de la  {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 28. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                         PEREZ BUELTA, Gaspar {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       0               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 29. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                      GUTIERREZ DE ARCE, Juan {txt}{c |} {res}       1 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       0              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 31. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                     NUÑEZ DE ROJAS, Gregorio {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

     {c TLC}{hline 63}{c TT}{hline 10}{c TRC}
 32. {c |}                                                          name {c |} births~n {c |}
     {c |} {res}                                           SALAZAR, Tomás de  {txt}{c |} {res}       0 {txt}{c |}
     {c LT}{hline 36}{c TT}{hline 26}{c BT}{hline 10}{c RT}
     {c |}              birthl~a              {c |}              purchase               {c |}
     {c |}              {res}       1              {txt}{c |}              {res}       1               {txt}{c |}
     {c BLC}{hline 36}{c BT}{hline 37}{c BRC}

{com}. 
. 
. *************************************
. ***TABLE A.2 - Descriptive Statistics
. *************************************
. 
. *new members data 
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. replace totspanishdeath = totspanishdeath*100
{txt}(154 real changes made)

{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. sutex year  distfuture
> totspanishdeath  
> rprice1 lrprice difprice lgprice, nobs minmax;
%------- Begin LaTeX code -------%

\begin{table}[htbp]\centering \caption{Summary statistics \label{sumstat}}
\begin{tabular}{l c c c c c}\hline\hline
\multicolumn{1}{c}{\textbf{Variable}} & \textbf{Mean}
 & \textbf{Std. Dev.}& \textbf{Min.} &  \textbf{Max.} & \textbf{N}\\ \hline
year & 1718.619 & 20.401 & 1687 & 1751 & 444\\
distfuture & 6.824 & 5.964 & 1 & 34 & 397\\
totspanishdeath & 7.391 & 13.597 & 0 & 73.645 & 444\\
rprice1 & 5209.528 & 4949.519 & 491.087 & 30486.51 & 444\\
lrprice1 & 8.229 & 0.794 & 6.197 & 10.325 & 444\\
difprice & 1197.08 & 3436.035 & -14719.953 & 23810.559 & 397\\
lgprice & 0.177 & 0.477 & -1.253 & 1.81 & 397\\
\hline
\end{tabular}
\end{table}
%------- End LaTeX code -------%
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. sutex shpeninsular chshspain, minmax nobs;
%------- Begin LaTeX code -------%

\begin{table}[htbp]\centering \caption{Summary statistics \label{sumstat}}
\begin{tabular}{l c c c c c}\hline\hline
\multicolumn{1}{c}{\textbf{Variable}} & \textbf{Mean}
 & \textbf{Std. Dev.}& \textbf{Min.} &  \textbf{Max.} & \textbf{N}\\ \hline
shpeninsular & 49.723 & 14.561 & 16.667 & 71.429 & 444\\
chshspain & -4.581 & 12.532 & -43.333 & 24.706 & 397\\
\hline
\end{tabular}
\end{table}
%------- End LaTeX code -------%
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *new members data
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. sutex shsold shspain shspuniv shdr shba shlic shlimawife shfamcon
> shdisp shprop shmerchant, minmax nobs;
%------- Begin LaTeX code -------%

\begin{table}[htbp]\centering \caption{Summary statistics \label{sumstat}}
\begin{tabular}{l c c c c c}\hline\hline
\multicolumn{1}{c}{\textbf{Variable}} & \textbf{Mean}
 & \textbf{Std. Dev.}& \textbf{Min.} &  \textbf{Max.} & \textbf{N}\\ \hline
shsold & 71.496 & 17.2 & 41.667 & 100 & 444\\
shspain & 31.337 & 19.144 & 0 & 66.667 & 444\\
shspuniv & 40.032 & 20.751 & 0 & 72.727 & 444\\
shdr & 49.135 & 23.322 & 16.667 & 100 & 444\\
shba & 16.82 & 11.613 & 0 & 50 & 444\\
shlic & 18.207 & 13.219 & 0 & 45.455 & 444\\
shlimawife & 73.189 & 14.243 & 50 & 100 & 444\\
shfamcon & 78.711 & 13.758 & 50 & 100 & 444\\
shdisp & 81.349 & 12.696 & 50 & 100 & 444\\
shprop & 48.141 & 20.466 & 27.273 & 100 & 444\\
shmerchant & 14.178 & 12.915 & 0 & 47.059 & 444\\
\hline
\end{tabular}
\end{table}
%------- End LaTeX code -------%
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. sutex chshsold chshspain chshspuniv chshdr chshba chshlic chshlimawife chshfamcon
> chshdisp chshprop chshmerchant, minmax nobs;
%------- Begin LaTeX code -------%

\begin{table}[htbp]\centering \caption{Summary statistics \label{sumstat}}
\begin{tabular}{l c c c c c}\hline\hline
\multicolumn{1}{c}{\textbf{Variable}} & \textbf{Mean}
 & \textbf{Std. Dev.}& \textbf{Min.} &  \textbf{Max.} & \textbf{N}\\ \hline
chshsold & -2.578 & 18.806 & -50 & 36.667 & 397\\
chshspain & 1.962 & 20.188 & -49.02 & 50 & 397\\
chshspuniv & 0.958 & 22.103 & -58.442 & 66.667 & 397\\
chshdr & -2.924 & 21.422 & -71.429 & 53.922 & 397\\
chshba & -0.102 & 15.478 & -36.667 & 50 & 397\\
chshlic & 1.203 & 12.992 & -38.312 & 33.333 & 397\\
chshlimawife & -3.902 & 16.093 & -50 & 31.111 & 397\\
chshfamcon & -1.026 & 17.984 & -50 & 36.667 & 397\\
chshdisp & -0.047 & 16.037 & -50 & 33.333 & 397\\
chshprop & -5.426 & 18.692 & -72.727 & 25 & 397\\
chshmerchant & 4.404 & 8.895 & -18.182 & 33.766 & 397\\
\hline
\end{tabular}
\end{table}
%------- End LaTeX code -------%
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *Provincial Traits
. 
. #delimit ;
{txt}delimiter now ;
{com}. sutex bishop pop54 ind54 lreparto rep50 mine wage forastero
> tribut circuito suitindex z distlima, minmax nobs;
%------- Begin LaTeX code -------%

\begin{table}[htbp]\centering \caption{Summary statistics \label{sumstat}}
\begin{tabular}{l c c c c c}\hline\hline
\multicolumn{1}{c}{\textbf{Variable}} & \textbf{Mean}
 & \textbf{Std. Dev.}& \textbf{Min.} &  \textbf{Max.} & \textbf{N}\\ \hline
bishop & 0.099 & 0.299 & 0 & 1 & 444\\
pop54 & 23636.739 & 14247.123 & 3334 & 62910 & 440\\
ind54 & 13475.007 & 7407.719 & 873 & 29692 & 440\\
lreparto & 11.383 & 0.523 & 9.220 & 12.206 & 429\\
rep50 & 0.513 & 0.5 & 0 & 1 & 429\\
mine & 0.529 & 0.5 & 0 & 1 & 444\\
wage & 1114.617 & 433.61 & 537 & 3000 & 444\\
forastero & 578.589 & 876.445 & 0 & 4253 & 443\\
tribut & 1932.646 & 1802.395 & 135 & 9280 & 443\\
circuito & 0.273 & 0.446 & 0 & 1 & 444\\
suitindex & 0.319 & 0.345 & 0.002 & 0.943 & 444\\
z & 2498.088 & 1111.552 & 53.125 & 3879.8 & 444\\
distlima & 444.938 & 232.642 & 14.34 & 947.304 & 444\\
\hline
\end{tabular}
\end{table}
%------- End LaTeX code -------%
{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *************************************
. ***FIGURE A.1 - Similarity in Datasets
. *************************************
. 
. use fig2, clear
{txt}
{com}. 
. label var per_spaincomp "All Members Data"
{txt}
{com}. label var shspain "New Member Data"
{txt}
{com}. 
. twoway(line per_spaincomp year if year<=1751, sort lcolor(black) lpattern(dash)) (line shspain year if year<=1751, sort lcolor(black)), legend( on rows(1) size(small) region(col(white))) xtitle("Year") ytitle("% Spanish Audiencia Members") graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white))
{res}{txt}
{com}. 
. graph save figA1, replace
{res}{txt}(file figA1.gph saved)

{com}. 
. 
. *****************************************
. ***TABLE A.3 - Timing of Deaths and War  
. *****************************************
. 
. use limadeparty.dta, clear
{txt}
{com}. 
. *Panel A: Using 1 year window
. 
. *War indicator
. 
. reg death war, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(1, 63)          =  {res}     0.94
                                                {txt}Prob > F          = {res}    0.3350
                                                {txt}R-squared         = {res}    0.0113
                                                {txt}Root MSE          =    {res} .68863

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .1590389{col 26}{space 2} .1636869{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4}-.1680632{col 67}{space 3}  .486141
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2105263{col 26}{space 2} .1214141{col 37}{space 1}    1.73{col 46}{space 3}0.088{col 54}{space 4}-.0321004{col 67}{space 3}  .453153
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  replace se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. reg death war year, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(2, 62)          =  {res}     3.10
                                                {txt}Prob > F          = {res}    0.0519
                                                {txt}R-squared         = {res}    0.1009
                                                {txt}Root MSE          =    {res} .66194

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .2037699{col 26}{space 2}  .172735{col 37}{space 1}    1.18{col 46}{space 3}0.243{col 54}{space 4}-.1415224{col 67}{space 3} .5490622
{txt}{space 8}year {c |}{col 14}{res}{space 2} .0109356{col 26}{space 2} .0043896{col 37}{space 1}    2.49{col 46}{space 3}0.015{col 54}{space 4} .0021609{col 67}{space 3} .0197103
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-18.61949{col 26}{space 2} 7.541054{col 37}{space 1}   -2.47{col 46}{space 3}0.016{col 54}{space 4}-33.69384{col 67}{space 3}-3.545135
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. reg deathspain war, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(1, 63)          =  {res}     0.42
                                                {txt}Prob > F          = {res}    0.5201
                                                {txt}R-squared         = {res}    0.0044
                                                {txt}Root MSE          =    {res} .47806

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .0686499{col 26}{space 2} .1061238{col 37}{space 1}    0.65{col 46}{space 3}0.520{col 54}{space 4}-.1434216{col 67}{space 3} .2807214
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1052632{col 26}{space 2} .0715147{col 37}{space 1}    1.47{col 46}{space 3}0.146{col 54}{space 4}-.0376476{col 67}{space 3} .2481739
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. reg deathspain war year, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(2, 62)          =  {res}     1.56
                                                {txt}Prob > F          = {res}    0.2174
                                                {txt}R-squared         = {res}    0.0649
                                                {txt}Root MSE          =    {res} .46703

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .0940671{col 26}{space 2}  .115856{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.1375258{col 67}{space 3}   .32566
{txt}{space 8}year {c |}{col 14}{res}{space 2} .0062139{col 26}{space 2} .0036132{col 37}{space 1}    1.72{col 46}{space 3}0.090{col 54}{space 4}-.0010088{col 67}{space 3} .0134366
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-10.59439{col 26}{space 2} 6.215281{col 37}{space 1}   -1.70{col 46}{space 3}0.093{col 54}{space 4}-23.01856{col 67}{space 3} 1.829777
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. 
. *Length of War
. 
. reg death cumwar, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(1, 63)          =  {res}     0.47
                                                {txt}Prob > F          = {res}    0.4939
                                                {txt}R-squared         = {res}    0.0104
                                                {txt}Root MSE          =    {res} .68891

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2}  .014675{col 26}{space 2} .0213285{col 37}{space 1}    0.69{col 46}{space 3}0.494{col 54}{space 4}-.0279466{col 67}{space 3} .0572966
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2535401{col 26}{space 2} .1142366{col 37}{space 1}    2.22{col 46}{space 3}0.030{col 54}{space 4} .0252564{col 67}{space 3} .4818237
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. reg death cumwar year, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(2, 62)          =  {res}     3.22
                                                {txt}Prob > F          = {res}    0.0468
                                                {txt}R-squared         = {res}    0.0856
                                                {txt}Root MSE          =    {res} .66754

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2} .0080012{col 26}{space 2} .0201424{col 37}{space 1}    0.40{col 46}{space 3}0.693{col 54}{space 4}-.0322629{col 67}{space 3} .0482654
{txt}{space 8}year {c |}{col 14}{res}{space 2} .0101076{col 26}{space 2} .0039934{col 37}{space 1}    2.53{col 46}{space 3}0.014{col 54}{space 4}  .002125{col 67}{space 3} .0180902
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-17.08987{col 26}{space 2}  6.82062{col 37}{space 1}   -2.51{col 46}{space 3}0.015{col 54}{space 4} -30.7241{col 67}{space 3}-3.455646
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. reg deathspain cumwar, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(1, 63)          =  {res}     0.23
                                                {txt}Prob > F          = {res}    0.6345
                                                {txt}R-squared         = {res}    0.0064
                                                {txt}Root MSE          =    {res} .47758

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2}  .007931{col 26}{space 2} .0166001{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-.0252417{col 67}{space 3} .0411037
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1162654{col 26}{space 2} .0674624{col 37}{space 1}    1.72{col 46}{space 3}0.090{col 54}{space 4}-.0185474{col 67}{space 3} .2510782
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. reg deathspain cumwar year, r

{txt}Linear regression                               Number of obs     = {res}        65
                                                {txt}F(2, 62)          =  {res}     2.59
                                                {txt}Prob > F          = {res}    0.0828
                                                {txt}R-squared         = {res}    0.0584
                                                {txt}Root MSE          =    {res} .46865

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2} .0040916{col 26}{space 2} .0149041{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.0257013{col 67}{space 3} .0338846
{txt}{space 8}year {c |}{col 14}{res}{space 2} .0058148{col 26}{space 2} .0030159{col 37}{space 1}    1.93{col 46}{space 3}0.058{col 54}{space 4}-.0002138{col 67}{space 3} .0118435
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -9.86124{col 26}{space 2} 5.177059{col 37}{space 1}   -1.90{col 46}{space 3}0.061{col 54}{space 4}-20.21003{col 67}{space 3} .4875543
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3A.tex,  append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3A.tex"'"':TableA3A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3A.txt""':seeout}

{com}. 
. 
. 
. *Panel B: Using 2 year window
. 
. gen year2=2*round(year/2)
{txt}
{com}. 
. collapse (sum) death deathspain (median) war cumwar, by(year2)
{txt}
{com}. 
. *War indicator
. 
. reg death war, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(1, 31)          =  {res}     0.89
                                                {txt}Prob > F          = {res}    0.3537
                                                {txt}R-squared         = {res}    0.0227
                                                {txt}Root MSE          =    {res} .89901

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .3121827{col 26}{space 2} .3315901{col 37}{space 1}    0.94{col 46}{space 3}0.354{col 54}{space 4}-.3640997{col 67}{space 3} .9884652
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4187817{col 26}{space 2} .2466513{col 37}{space 1}    1.70{col 46}{space 3}0.100{col 54}{space 4} -.084267{col 67}{space 3} .9218304
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, replace se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. reg death war year, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(2, 30)          =  {res}     4.18
                                                {txt}Prob > F          = {res}    0.0251
                                                {txt}R-squared         = {res}    0.2084
                                                {txt}Root MSE          =    {res} .82245

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .4439084{col 26}{space 2} .3509264{col 37}{space 1}    1.26{col 46}{space 3}0.216{col 54}{space 4}-.2727789{col 67}{space 3} 1.160596
{txt}{space 7}year2 {c |}{col 14}{res}{space 2} .0201631{col 26}{space 2} .0070998{col 37}{space 1}    2.84{col 46}{space 3}0.008{col 54}{space 4} .0056635{col 67}{space 3} .0346628
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-34.35362{col 26}{space 2} 12.18747{col 37}{space 1}   -2.82{col 46}{space 3}0.008{col 54}{space 4}-59.24376{col 67}{space 3}-9.463484
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. reg deathspain war, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(1, 31)          =  {res}     0.15
                                                {txt}Prob > F          = {res}    0.6993
                                                {txt}R-squared         = {res}    0.0036
                                                {txt}Root MSE          =    {res} .64565

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .0888325{col 26}{space 2} .2278344{col 37}{space 1}    0.39{col 46}{space 3}0.699{col 54}{space 4}-.3758388{col 67}{space 3} .5535038
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2411168{col 26}{space 2} .1499941{col 37}{space 1}    1.61{col 46}{space 3}0.118{col 54}{space 4}-.0647983{col 67}{space 3} .5470318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. reg deathspain war year, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(2, 30)          =  {res}     1.60
                                                {txt}Prob > F          = {res}    0.2194
                                                {txt}R-squared         = {res}    0.1174
                                                {txt}Root MSE          =    {res} .61771

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}war {c |}{col 14}{res}{space 2} .1621562{col 26}{space 2} .2579914{col 37}{space 1}    0.63{col 46}{space 3}0.534{col 54}{space 4}-.3647325{col 67}{space 3}  .689045
{txt}{space 7}year2 {c |}{col 14}{res}{space 2} .0112236{col 26}{space 2} .0065801{col 37}{space 1}    1.71{col 46}{space 3}0.098{col 54}{space 4}-.0022147{col 67}{space 3}  .024662
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-19.11459{col 26}{space 2} 11.33961{col 37}{space 1}   -1.69{col 46}{space 3}0.102{col 54}{space 4}-42.27316{col 67}{space 3} 4.043991
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. 
. *Length of War
. 
. reg death cumwar, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(1, 31)          =  {res}     0.43
                                                {txt}Prob > F          = {res}    0.5176
                                                {txt}R-squared         = {res}    0.0178
                                                {txt}Root MSE          =    {res} .90126

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2} .0253402{col 26}{space 2} .0387116{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0536126{col 67}{space 3} .1042931
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5181093{col 26}{space 2} .2258354{col 37}{space 1}    2.29{col 46}{space 3}0.029{col 54}{space 4} .0575149{col 67}{space 3} .9787037
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. reg death cumwar year, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(2, 30)          =  {res}     3.34
                                                {txt}Prob > F          = {res}    0.0489
                                                {txt}R-squared         = {res}    0.1696
                                                {txt}Root MSE          =    {res} .84237

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2} .0149829{col 26}{space 2} .0363172{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.0591867{col 67}{space 3} .0891524
{txt}{space 7}year2 {c |}{col 14}{res}{space 2} .0182108{col 26}{space 2} .0072562{col 37}{space 1}    2.51{col 46}{space 3}0.018{col 54}{space 4} .0033917{col 67}{space 3} .0330299
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-30.75614{col 26}{space 2} 12.36525{col 37}{space 1}   -2.49{col 46}{space 3}0.019{col 54}{space 4}-56.00935{col 67}{space 3}-5.502933
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. reg deathspain cumwar, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(1, 31)          =  {res}     0.18
                                                {txt}Prob > F          = {res}    0.6753
                                                {txt}R-squared         = {res}    0.0095
                                                {txt}Root MSE          =    {res} .64376

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2} .0131394{col 26}{space 2} .0310683{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4}-.0502249{col 67}{space 3} .0765037
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2417132{col 26}{space 2} .1260273{col 37}{space 1}    1.92{col 46}{space 3}0.064{col 54}{space 4}-.0153211{col 67}{space 3} .4987475
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. reg deathspain cumwar year, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(2, 30)          =  {res}     2.00
                                                {txt}Prob > F          = {res}    0.1531
                                                {txt}R-squared         = {res}    0.1083
                                                {txt}Root MSE          =    {res} .62088

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  deathspain{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}cumwar {c |}{col 14}{res}{space 2} .0071946{col 26}{space 2} .0277708{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.0495209{col 67}{space 3} .0639102
{txt}{space 7}year2 {c |}{col 14}{res}{space 2} .0104523{col 26}{space 2} .0056458{col 37}{space 1}    1.85{col 46}{space 3}0.074{col 54}{space 4} -.001078{col 67}{space 3} .0219827
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-17.70853{col 26}{space 2} 9.682324{col 37}{space 1}   -1.83{col 46}{space 3}0.077{col 54}{space 4}-37.48248{col 67}{space 3} 2.065408
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA3B.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA3B.tex"'"':TableA3B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA3B.txt""':seeout}

{com}. 
. 
. ***************************************************************
. ***TABLE A.4: Timing of Death and Decision to Sell Positions
. ***************************************************************
. 
. use provpanel.dta, clear
{txt}
{com}. 
. merge m:1 year using limadeparty.dta
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}             658
{txt}{col 9}from master{col 30}{res}             658{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}           3,055{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge==3 //only those for post-1687 years 
{txt}(658 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. 
. reg sale death, r

{txt}Linear regression                               Number of obs     = {res}     3,055
                                                {txt}F(1, 3053)        =  {res}     0.37
                                                {txt}Prob > F          = {res}    0.5421
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .35253

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        sale{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}death {c |}{col 14}{res}{space 2} .0060233{col 26}{space 2}  .009879{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0133468{col 67}{space 3} .0253934
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1433895{col 26}{space 2} .0070713{col 37}{space 1}   20.28{col 46}{space 3}0.000{col 54}{space 4} .1295245{col 67}{space 3} .1572545
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA4.tex, replace se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA4.tex"'"':TableA4.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA4.txt""':seeout}

{com}. reg sale death year, r

{txt}Linear regression                               Number of obs     = {res}     3,055
                                                {txt}F(2, 3052)        =  {res}     0.39
                                                {txt}Prob > F          = {res}    0.6741
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res} .35256

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        sale{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}death {c |}{col 14}{res}{space 2} .0079209{col 26}{space 2}  .010267{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}  -.01221{col 67}{space 3} .0280517
{txt}{space 8}year {c |}{col 14}{res}{space 2}-.0002399{col 26}{space 2} .0003787{col 37}{space 1}   -0.63{col 46}{space 3}0.527{col 54}{space 4}-.0009825{col 67}{space 3} .0005027
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5551585{col 26}{space 2} .6503303{col 37}{space 1}    0.85{col 46}{space 3}0.393{col 54}{space 4}-.7199711{col 67}{space 3} 1.830288
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA4.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA4.tex"'"':TableA4.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA4.txt""':seeout}

{com}. reg sale deathspain, r

{txt}Linear regression                               Number of obs     = {res}     3,055
                                                {txt}F(1, 3053)        =  {res}     0.03
                                                {txt}Prob > F          = {res}    0.8552
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .35255

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        sale{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}deathspain {c |}{col 14}{res}{space 2} .0024898{col 26}{space 2} .0136463{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0242671{col 67}{space 3} .0292468
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1449525{col 26}{space 2} .0067019{col 37}{space 1}   21.63{col 46}{space 3}0.000{col 54}{space 4} .1318118{col 67}{space 3} .1580931
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA4.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA4.tex"'"':TableA4.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA4.txt""':seeout}

{com}. reg sale deathspain year, r

{txt}Linear regression                               Number of obs     = {res}     3,055
                                                {txt}F(2, 3052)        =  {res}     0.14
                                                {txt}Prob > F          = {res}    0.8669
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .35259

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        sale{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}deathspain {c |}{col 14}{res}{space 2} .0042179{col 26}{space 2} .0138996{col 37}{space 1}    0.30{col 46}{space 3}0.762{col 54}{space 4}-.0230357{col 67}{space 3} .0314714
{txt}{space 8}year {c |}{col 14}{res}{space 2}-.0001824{col 26}{space 2} .0003715{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.0009109{col 67}{space 3}  .000546
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4582534{col 26}{space 2} .6383733{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.7934317{col 67}{space 3} 1.709939
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA4.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA4.tex"'"':TableA4.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA4.txt""':seeout}

{com}. 
. 
. *******************************************************
. ***TABLE A.5: Timing of Death and Silver Production *******************************************************
. 
. use limadeparty.dta, clear
{txt}
{com}. 
. gen audiencia="Lima"
{txt}
{com}. 
. merge 1:1 audiencia year using lima_timeseries.dta
{res}{txt}{p 0 7 2}
(note: variable
audiencia was 
str4, now str11 to accommodate using data's values)
{p_end}

{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              65{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. 
. encode audiencia, gen(audcode)
{txt}
{com}. xtset audcode year
{res}{txt}{col 8}panel variable:  {res}audcode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1687 to 1751
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. 
. gen lsilver1 = log(silver_pesos)
{txt}
{com}. gen difsilv1 = lsilver1 - l.lsilver1
{txt}(1 missing value generated)

{com}. 
. gen lsilver2 = log(silver_pesos2)
{txt}
{com}. gen difsilv2 = lsilver2 - l.lsilver2
{txt}(1 missing value generated)

{com}. 
. gen difdeath = death - l.death
{txt}(1 missing value generated)

{com}. gen difdeathspain = deathspain - l.deathspain
{txt}(1 missing value generated)

{com}. 
. 
. *Silver measure based on official registered entries
. reg difsilv1 difdeath, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     1.05
                                                {txt}Prob > F          = {res}    0.3101
                                                {txt}R-squared         = {res}    0.0314
                                                {txt}Root MSE          =    {res} .23504

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difsilv1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2}  .041651{col 26}{space 2} .0407025{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0397121{col 67}{space 3} .1230141
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .007243{col 26}{space 2}   .02938{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.0514868{col 67}{space 3} .0659727
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 death using TableA5.tex, replace se bdec(2) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. reg difsilv1 difdeathspain, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     0.78
                                                {txt}Prob > F          = {res}    0.3808
                                                {txt}R-squared         = {res}    0.0162
                                                {txt}Root MSE          =    {res} .23687

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difsilv1{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
difdeathspain {c |}{col 15}{res}{space 2} .0423755{col 27}{space 2} .0480021{col 38}{space 1}    0.88{col 47}{space 3}0.381{col 55}{space 4}-.0535792{col 68}{space 3} .1383303
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  .007243{col 27}{space 2} .0296088{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-.0519442{col 68}{space 3} .0664302
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 deathspain using TableA5.tex, append se bdec(2) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. reg difsilv1 difdeath year, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(2, 61)          =  {res}     1.03
                                                {txt}Prob > F          = {res}    0.3627
                                                {txt}R-squared         = {res}    0.0519
                                                {txt}Root MSE          =    {res} .23444

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difsilv1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2}  .042249{col 26}{space 2} .0410702{col 37}{space 1}    1.03{col 46}{space 3}0.308{col 54}{space 4}-.0398759{col 67}{space 3} .1243739
{txt}{space 8}year {c |}{col 14}{res}{space 2} .0018225{col 26}{space 2} .0016469{col 37}{space 1}    1.11{col 46}{space 3}0.273{col 54}{space 4}-.0014707{col 67}{space 3} .0051157
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.126545{col 26}{space 2} 2.816238{col 37}{space 1}   -1.11{col 46}{space 3}0.271{col 54}{space 4}-8.757961{col 67}{space 3}  2.50487
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 death using TableA5.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. reg difsilv1 difdeathspain year, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(2, 61)          =  {res}     0.88
                                                {txt}Prob > F          = {res}    0.4182
                                                {txt}R-squared         = {res}    0.0363
                                                {txt}Root MSE          =    {res} .23636

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difsilv1{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
difdeathspain {c |}{col 15}{res}{space 2} .0429385{col 27}{space 2} .0479552{col 38}{space 1}    0.90{col 47}{space 3}0.374{col 55}{space 4}-.0529537{col 68}{space 3} .1388308
{txt}{space 9}year {c |}{col 15}{res}{space 2} .0018015{col 27}{space 2} .0017118{col 38}{space 1}    1.05{col 47}{space 3}0.297{col 55}{space 4}-.0016215{col 68}{space 3} .0052245
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.090499{col 27}{space 2}  2.92655{col 38}{space 1}   -1.06{col 47}{space 3}0.295{col 55}{space 4}-8.942498{col 68}{space 3}   2.7615
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 deathspain using TableA5.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. 
. 
. *Silver measure based on mintage and mercury production 
. reg difsilv2 difdeath

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        64
{txt}{hline 13}{c +}{hline 34}   F(1, 62)        = {res}     0.08
{txt}       Model {c |} {res} .011173879         1  .011173879   {txt}Prob > F        ={res}    0.7733
{txt}    Residual {c |} {res} 8.27631185        62  .133488901   {txt}R-squared       ={res}    0.0013
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0148
{txt}       Total {c |} {res} 8.28748573        63  .131547393   {txt}Root MSE        =   {res} .36536

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    difsilv2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2} .0132133{col 26}{space 2} .0456702{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}  -.07808{col 67}{space 3} .1045067
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0099789{col 26}{space 2} .0456702{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0813145{col 67}{space 3} .1012722
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 death using TableA5.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. reg difsilv2 difdeathspain

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        64
{txt}{hline 13}{c +}{hline 34}   F(1, 62)        = {res}     0.03
{txt}       Model {c |} {res} .004267235         1  .004267235   {txt}Prob > F        ={res}    0.8587
{txt}    Residual {c |} {res} 8.28321849        62  .133600298   {txt}R-squared       ={res}    0.0005
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0156
{txt}       Total {c |} {res} 8.28748573        63  .131547393   {txt}Root MSE        =   {res} .36551

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     difsilv2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
difdeathspain {c |}{col 15}{res}{space 2} .0115478{col 27}{space 2} .0646143{col 38}{space 1}    0.18{col 47}{space 3}0.859{col 55}{space 4}-.1176144{col 68}{space 3} .1407099
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0099789{col 27}{space 2} .0456892{col 38}{space 1}    0.22{col 47}{space 3}0.828{col 55}{space 4}-.0813526{col 68}{space 3} .1013103
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 deathspain using TableA5.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. reg difsilv2 difdeath year

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        64
{txt}{hline 13}{c +}{hline 34}   F(2, 61)        = {res}     0.19
{txt}       Model {c |} {res} .050606538         2  .025303269   {txt}Prob > F        ={res}    0.8296
{txt}    Residual {c |} {res} 8.23687919        61  .135030806   {txt}R-squared       ={res}    0.0061
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0265
{txt}       Total {c |} {res} 8.28748573        63  .131547393   {txt}Root MSE        =   {res} .36747

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    difsilv2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2} .0136543{col 26}{space 2} .0459404{col 37}{space 1}    0.30{col 46}{space 3}0.767{col 54}{space 4}-.0782093{col 67}{space 3} .1055178
{txt}{space 8}year {c |}{col 14}{res}{space 2} .0013439{col 26}{space 2} .0024869{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4} -.003629{col 67}{space 3} .0063168
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.300875{col 26}{space 2} 4.276474{col 37}{space 1}   -0.54{col 46}{space 3}0.593{col 54}{space 4}-10.85221{col 67}{space 3} 6.250464
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 death using TableA5.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. reg difsilv2 difdeathspain year

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        64
{txt}{hline 13}{c +}{hline 34}   F(2, 61)        = {res}     0.16
{txt}       Model {c |} {res} .043258938         2  .021629469   {txt}Prob > F        ={res}    0.8525
{txt}    Residual {c |} {res} 8.24422679        61  .135151259   {txt}R-squared       ={res}    0.0052
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0274
{txt}       Total {c |} {res} 8.28748573        63  .131547393   {txt}Root MSE        =   {res} .36763

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     difsilv2{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
difdeathspain {c |}{col 15}{res}{space 2} .0119654{col 27}{space 2} .0649929{col 38}{space 1}    0.18{col 47}{space 3}0.855{col 55}{space 4} -.117996{col 68}{space 3} .1419268
{txt}{space 9}year {c |}{col 15}{res}{space 2} .0013363{col 27}{space 2} .0024878{col 38}{space 1}    0.54{col 47}{space 3}0.593{col 55}{space 4}-.0036384{col 68}{space 3} .0063109
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} -2.28772{col 27}{space 2} 4.278012{col 38}{space 1}   -0.53{col 47}{space 3}0.595{col 55}{space 4}-10.84213{col 68}{space 3} 6.266695
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 deathspain using TableA5.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA5.tex"'"':TableA5.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA5.txt""':seeout}

{com}. 
. 
. 
. *****************************************************************
. ***TABLE A.6: Timing of Death and Inflation
. *****************************************************************
. 
. use limadeparty.dta, clear
{txt}
{com}. 
. gen audiencia="Lima"
{txt}
{com}. 
. merge 1:1 audiencia year using lima_timeseries.dta
{res}{txt}{p 0 7 2}
(note: variable
audiencia was 
str4, now str11 to accommodate using data's values)
{p_end}

{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              65{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge==3
{txt}(0 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. encode audiencia, gen(audcode)
{txt}
{com}. xtset audcode year
{res}{txt}{col 8}panel variable:  {res}audcode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1687 to 1751
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. gen difdeath = death - l.death
{txt}(1 missing value generated)

{com}. gen difdeathspain = deathspain - l.deathspain
{txt}(1 missing value generated)

{com}. gen difindex = avgprice_index - l.avgprice_index
{txt}(1 missing value generated)

{com}. 
. 
. 
. reg difindex difdeath, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     1.75
                                                {txt}Prob > F          = {res}    0.1909
                                                {txt}R-squared         = {res}    0.0484
                                                {txt}Root MSE          =    {res} 10.123

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difindex{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2}-2.247043{col 26}{space 2} 1.699105{col 37}{space 1}   -1.32{col 46}{space 3}0.191{col 54}{space 4}-5.643505{col 67}{space 3}  1.14942
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2185123{col 26}{space 2} 1.265434{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-2.748079{col 67}{space 3} 2.311054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeath using TableA6.tex, replace se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA6.tex"'"':TableA6.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA6.txt""':seeout}

{com}. reg difindex difdeathspain, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     0.70
                                                {txt}Prob > F          = {res}    0.4054
                                                {txt}R-squared         = {res}    0.0272
                                                {txt}Root MSE          =    {res} 10.236

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difindex{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
difdeathspain {c |}{col 15}{res}{space 2} -2.38173{col 27}{space 2} 2.842938{col 38}{space 1}   -0.84{col 47}{space 3}0.405{col 55}{space 4}-8.064682{col 68}{space 3} 3.301222
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.2185123{col 27}{space 2} 1.279459{col 38}{space 1}   -0.17{col 47}{space 3}0.865{col 55}{space 4}-2.776114{col 68}{space 3} 2.339089
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeathspain using TableA6.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA6.tex"'"':TableA6.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA6.txt""':seeout}

{com}. reg difindex difdeath year, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(2, 61)          =  {res}     0.90
                                                {txt}Prob > F          = {res}    0.4125
                                                {txt}R-squared         = {res}    0.0486
                                                {txt}Root MSE          =    {res} 10.205

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difindex{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2} -2.24966{col 26}{space 2}  1.71311{col 37}{space 1}   -1.31{col 46}{space 3}0.194{col 54}{space 4}-5.675234{col 67}{space 3} 1.175915
{txt}{space 8}year {c |}{col 14}{res}{space 2}-.0079766{col 26}{space 2} .0748329{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-.1576143{col 67}{space 3} .1416611
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 13.49724{col 26}{space 2} 127.9956{col 37}{space 1}    0.11{col 46}{space 3}0.916{col 54}{space 4}-242.4457{col 67}{space 3} 269.4402
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeath using TableA6.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA6.tex"'"':TableA6.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA6.txt""':seeout}

{com}. reg difindex difdeathspain year, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(2, 61)          =  {res}     0.37
                                                {txt}Prob > F          = {res}    0.6932
                                                {txt}R-squared         = {res}    0.0273
                                                {txt}Root MSE          =    {res} 10.318

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difindex{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
difdeathspain {c |}{col 15}{res}{space 2}-2.383888{col 27}{space 2} 2.856082{col 38}{space 1}   -0.83{col 47}{space 3}0.407{col 55}{space 4}-8.094977{col 68}{space 3}   3.3272
{txt}{space 9}year {c |}{col 15}{res}{space 2} -.006905{col 27}{space 2} .0744028{col 38}{space 1}   -0.09{col 47}{space 3}0.926{col 55}{space 4}-.1556826{col 68}{space 3} .1418726
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 11.65461{col 27}{space 2} 127.2406{col 38}{space 1}    0.09{col 47}{space 3}0.927{col 55}{space 4}-242.7786{col 68}{space 3} 266.0879
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeathspain using TableA6.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA6.tex"'"':TableA6.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA6.txt""':seeout}

{com}. 
. 
. *****************************************************************
. ***TABLE A.7: Timing of Death and Spain's Economic Fundamentals
. *****************************************************************
. 
. use spain_timeseries.dta, replace
{txt}
{com}. 
. merge 1:1 year using limadeparty
{res}{txt}{p 0 7 2}
(note: variable
year was 
int, now float to accommodate using data's values)
{p_end}

{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}              15
{txt}{col 9}from master{col 30}{res}              15{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}              65{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge==3
{txt}(15 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. tsset year
{res}{txt}{col 9}time variable:  {res}{col 25}year, 1687 to 1751
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. gen lrevenue = log(revenue)
{txt}(16 missing values generated)

{com}. gen lgdppc = log(gdp_pc)
{txt}
{com}. 
. gen difrev = lrevenue - l.lrevenue
{txt}(17 missing values generated)

{com}. gen difgdp = lgdppc - l.lgdppc
{txt}(1 missing value generated)

{com}. gen difprice = eggprice_silver - l.eggprice_silver
{txt}(1 missing value generated)

{com}. gen difexch = conversion_vellon - l.conversion_vellon
{txt}(1 missing value generated)

{com}. 
. gen difdeath = death - l.death
{txt}(1 missing value generated)

{com}. gen difspain = deathspain - l.deathspain
{txt}(1 missing value generated)

{com}. 
. 
. 
. *Revenue
. 
. reg difrev difdeath, r

{txt}Linear regression                               Number of obs     = {res}        48
                                                {txt}F(1, 46)          =  {res}     0.91
                                                {txt}Prob > F          = {res}    0.3446
                                                {txt}R-squared         = {res}    0.0253
                                                {txt}Root MSE          =    {res} .03525

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      difrev{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2} -.004816{col 26}{space 2} .0050432{col 37}{space 1}   -0.95{col 46}{space 3}0.345{col 54}{space 4}-.0149674{col 67}{space 3} .0053354
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0277707{col 26}{space 2} .0050884{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} .0175282{col 67}{space 3} .0380131
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeath using TableA7.tex, replace se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. reg difrev difspain, r

{txt}Linear regression                               Number of obs     = {res}        48
                                                {txt}F(1, 46)          =  {res}     1.91
                                                {txt}Prob > F          = {res}    0.1731
                                                {txt}R-squared         = {res}    0.0316
                                                {txt}Root MSE          =    {res} .03514

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      difrev{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difspain {c |}{col 14}{res}{space 2}-.0076058{col 26}{space 2} .0054962{col 37}{space 1}   -1.38{col 46}{space 3}0.173{col 54}{space 4} -.018669{col 67}{space 3} .0034575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0277707{col 26}{space 2} .0050721{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .0175611{col 67}{space 3} .0379802
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difspain using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. 
. 
. *GDP per capita
. 
. reg difgdp difdeath, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     0.32
                                                {txt}Prob > F          = {res}    0.5729
                                                {txt}R-squared         = {res}    0.0023
                                                {txt}Root MSE          =    {res} .00076

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      difgdp{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2} .0000358{col 26}{space 2} .0000632{col 37}{space 1}    0.57{col 46}{space 3}0.573{col 54}{space 4}-.0000906{col 67}{space 3} .0001622
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0011645{col 26}{space 2} .0000947{col 37}{space 1}   12.30{col 46}{space 3}0.000{col 54}{space 4} .0009752{col 67}{space 3} .0013538
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeath using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. reg difgdp difspain, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     0.00
                                                {txt}Prob > F          = {res}    0.9881
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .00076

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      difgdp{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difspain {c |}{col 14}{res}{space 2}-1.04e-06{col 26}{space 2} .0000696{col 37}{space 1}   -0.01{col 46}{space 3}0.988{col 54}{space 4}-.0001401{col 67}{space 3} .0001381
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0011645{col 26}{space 2} .0000948{col 37}{space 1}   12.28{col 46}{space 3}0.000{col 54}{space 4}  .000975{col 67}{space 3}  .001354
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difspain using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. 
. 
. *Exchange Rates
. 
. reg difexch difdeath, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     1.06
                                                {txt}Prob > F          = {res}    0.3068
                                                {txt}R-squared         = {res}    0.0179
                                                {txt}Root MSE          =    {res} .00127

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     difexch{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2}-.0001686{col 26}{space 2} .0001636{col 37}{space 1}   -1.03{col 46}{space 3}0.307{col 54}{space 4}-.0004956{col 67}{space 3} .0001584
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0002134{col 26}{space 2} .0001584{col 37}{space 1}   -1.35{col 46}{space 3}0.183{col 54}{space 4}-.0005301{col 67}{space 3} .0001032
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeath using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. reg difexch difspain, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     0.05
                                                {txt}Prob > F          = {res}    0.8242
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .00128

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     difexch{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difspain {c |}{col 14}{res}{space 2} 9.69e-06{col 26}{space 2} .0000434{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.0000771{col 67}{space 3} .0000965
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0002134{col 26}{space 2} .0001598{col 37}{space 1}   -1.34{col 46}{space 3}0.187{col 54}{space 4} -.000533{col 67}{space 3} .0001061
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difspain using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. 
. 
. *Pride Indices
. 
. reg difprice difdeath, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     7.94
                                                {txt}Prob > F          = {res}    0.0065
                                                {txt}R-squared         = {res}    0.0717
                                                {txt}Root MSE          =    {res}  .3314

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difdeath {c |}{col 14}{res}{space 2} -.090625{col 26}{space 2} .0321544{col 37}{space 1}   -2.82{col 46}{space 3}0.006{col 54}{space 4}-.1549008{col 67}{space 3}-.0263492
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0109375{col 26}{space 2} .0414253{col 37}{space 1}   -0.26{col 46}{space 3}0.793{col 54}{space 4}-.0937456{col 67}{space 3} .0718706
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difdeath using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. reg difprice difspain, r

{txt}Linear regression                               Number of obs     = {res}        64
                                                {txt}F(1, 62)          =  {res}     3.09
                                                {txt}Prob > F          = {res}    0.0835
                                                {txt}R-squared         = {res}    0.0313
                                                {txt}Root MSE          =    {res} .33853

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}difspain {c |}{col 14}{res}{space 2}-.0846875{col 26}{space 2} .0481462{col 37}{space 1}   -1.76{col 46}{space 3}0.084{col 54}{space 4}-.1809303{col 67}{space 3} .0115553
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0109375{col 26}{space 2} .0423165{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4} -.095527{col 67}{space 3}  .073652
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 difspain using TableA7.tex, append se bdec(3) tdec(3) nocons nor noni 
{txt}{stata `"shellout using `"TableA7.tex"'"':TableA7.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA7.txt""':seeout}

{com}. 
. 
. ***********************************************************************
. ***TABLE A.8: Individual Determinants of Deaths
. ***********************************************************************
. 
. use indivmemberslima.dta, clear
{txt}
{com}. 
. reg death length, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(1, 31)          =  {res}     9.76
                                                {txt}Prob > F          = {res}    0.0039
                                                {txt}R-squared         = {res}    0.1434
                                                {txt}Root MSE          =    {res} .45935

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}length {c |}{col 14}{res}{space 2} .0151741{col 26}{space 2} .0048571{col 37}{space 1}    3.12{col 46}{space 3}0.004{col 54}{space 4} .0052679{col 67}{space 3} .0250803
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4211673{col 26}{space 2} .1324961{col 37}{space 1}    3.18{col 46}{space 3}0.003{col 54}{space 4} .1509398{col 67}{space 3} .6913948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, replace se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. reg death length dob, r

{txt}Linear regression                               Number of obs     = {res}        30
                                                {txt}F(2, 27)          =  {res}     5.74
                                                {txt}Prob > F          = {res}    0.0084
                                                {txt}R-squared         = {res}    0.1676
                                                {txt}Root MSE          =    {res} .46343

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}length {c |}{col 14}{res}{space 2}  .013795{col 26}{space 2} .0056462{col 37}{space 1}    2.44{col 46}{space 3}0.021{col 54}{space 4} .0022099{col 67}{space 3} .0253801
{txt}{space 9}dob {c |}{col 14}{res}{space 2}-.0049132{col 26}{space 2} .0048067{col 37}{space 1}   -1.02{col 46}{space 3}0.316{col 54}{space 4}-.0147757{col 67}{space 3} .0049494
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.659881{col 26}{space 2} 8.085509{col 37}{space 1}    1.07{col 46}{space 3}0.294{col 54}{space 4}-7.930213{col 67}{space 3} 25.24998
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. reg death length entry, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(2, 30)          =  {res}     5.86
                                                {txt}Prob > F          = {res}    0.0071
                                                {txt}R-squared         = {res}    0.1875
                                                {txt}Root MSE          =    {res} .45479

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}length {c |}{col 14}{res}{space 2} .0187313{col 26}{space 2} .0056475{col 37}{space 1}    3.32{col 46}{space 3}0.002{col 54}{space 4} .0071977{col 67}{space 3} .0302649
{txt}{space 7}entry {c |}{col 14}{res}{space 2}  .008239{col 26}{space 2} .0070635{col 37}{space 1}    1.17{col 46}{space 3}0.253{col 54}{space 4}-.0061865{col 67}{space 3} .0226645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-13.73689{col 26}{space 2} 12.12909{col 37}{space 1}   -1.13{col 46}{space 3}0.266{col 54}{space 4} -38.5078{col 67}{space 3} 11.03402
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. reg death length entry birthspain, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(3, 29)          =  {res}     3.78
                                                {txt}Prob > F          = {res}    0.0210
                                                {txt}R-squared         = {res}    0.2325
                                                {txt}Root MSE          =    {res} .44955

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}length {c |}{col 14}{res}{space 2} .0164423{col 26}{space 2} .0057602{col 37}{space 1}    2.85{col 46}{space 3}0.008{col 54}{space 4} .0046614{col 67}{space 3} .0282233
{txt}{space 7}entry {c |}{col 14}{res}{space 2} .0050317{col 26}{space 2} .0072494{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4} -.009795{col 67}{space 3} .0198584
{txt}{space 2}birthspain {c |}{col 14}{res}{space 2} .2285719{col 26}{space 2} .1635483{col 37}{space 1}    1.40{col 46}{space 3}0.173{col 54}{space 4}-.1059219{col 67}{space 3} .5630657
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-8.295727{col 26}{space 2} 12.42485{col 37}{space 1}   -0.67{col 46}{space 3}0.510{col 54}{space 4}-33.70739{col 67}{space 3} 17.11593
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. reg death length entry purchase, r

{txt}Linear regression                               Number of obs     = {res}        33
                                                {txt}F(3, 29)          =  {res}     3.72
                                                {txt}Prob > F          = {res}    0.0224
                                                {txt}R-squared         = {res}    0.2258
                                                {txt}Root MSE          =    {res} .45151

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       death{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}length {c |}{col 14}{res}{space 2} .0173101{col 26}{space 2} .0056931{col 37}{space 1}    3.04{col 46}{space 3}0.005{col 54}{space 4} .0056664{col 67}{space 3} .0289538
{txt}{space 7}entry {c |}{col 14}{res}{space 2} .0059636{col 26}{space 2}  .007036{col 37}{space 1}    0.85{col 46}{space 3}0.404{col 54}{space 4}-.0084267{col 67}{space 3} .0203538
{txt}{space 4}purchase {c |}{col 14}{res}{space 2} -.208733{col 26}{space 2} .1626051{col 37}{space 1}   -1.28{col 46}{space 3}0.209{col 54}{space 4}-.5412978{col 67}{space 3} .1238319
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-9.681405{col 26}{space 2} 12.09671{col 37}{space 1}   -0.80{col 46}{space 3}0.430{col 54}{space 4}-34.42196{col 67}{space 3} 15.05915
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. reg length purchase

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        33
{txt}{hline 13}{c +}{hline 34}   F(1, 31)        = {res}     0.09
{txt}       Model {c |} {res} 13.6363636         1  13.6363636   {txt}Prob > F        ={res}    0.7673
{txt}    Residual {c |} {res} 4743.27273        31  153.008798   {txt}R-squared       ={res}    0.0029
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0293
{txt}       Total {c |} {res} 4756.90909        32  148.653409   {txt}Root MSE        =   {res}  12.37

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      length{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}purchase {c |}{col 14}{res}{space 2}-1.363636{col 26}{space 2} 4.567804{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-10.67973{col 67}{space 3} 7.952462
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 15.09091{col 26}{space 2} 3.729597{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 7.484347{col 67}{space 3} 22.69747
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. reg length birthspain

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        33
{txt}{hline 13}{c +}{hline 34}   F(1, 31)        = {res}     0.31
{txt}       Model {c |} {res} 46.3733766         1  46.3733766   {txt}Prob > F        ={res}    0.5846
{txt}    Residual {c |} {res} 4710.53571        31  151.952765   {txt}R-squared       ={res}    0.0097
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0222
{txt}       Total {c |} {res} 4756.90909        32  148.653409   {txt}Root MSE        =   {res} 12.327

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      length{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}birthspain {c |}{col 14}{res}{space 2} 2.464286{col 26}{space 2} 4.460782{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-6.633539{col 67}{space 3} 11.56211
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 13.28571{col 26}{space 2} 2.689953{col 37}{space 1}    4.94{col 46}{space 3}0.000{col 54}{space 4} 7.799519{col 67}{space 3} 18.77191
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using TableA8.tex, append se bdec(3) tdec(3) nocons nor noni
{txt}{stata `"shellout using `"TableA8.tex"'"':TableA8.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA8.txt""':seeout}

{com}. 
. 
. ***********************************************************************
. ***FIGURES A.2-A.5: Reduced Form Binned Scatterplots
. ***********************************************************************
. 
. 
. *Figure A.2
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. binscatter difprice totspanishdeath if distfuture<=9,  absorb(year) control(distfuture) ytitle("Change in Prices Between Sales (levels)") xtitle("Cumulative % of Spanish Deaths Between Sales (<=9 years)") graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white)) title("New Members Dataset")
{res}{txt}
{com}. 
. graph save figA2, replace
{res}{txt}(file figA2.gph saved)

{com}. 
. areg difprice totspanishdeath distfuture if distfuture<=9, abs(year) cluster(provcode)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:year}{col 49}No. of categories{col 67}= {res}        49
{txt}{col 49}F({res}   2{txt},{res}     45{txt}){col 67}= {res}      5.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0050
{txt}{col 49}R-squared{col 67}= {res}    0.4219
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3063
{txt}{col 49}Root MSE{col 67}= {res} 2395.9580

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       difprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 16566.58{col 29}{space 2} 9232.258{col 40}{space 1}    1.79{col 49}{space 3}0.079{col 57}{space 4}-2028.145{col 70}{space 3}  35161.3
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} 165.9658{col 29}{space 2} 64.63882{col 40}{space 1}    2.57{col 49}{space 3}0.014{col 57}{space 4} 35.77657{col 70}{space 3} 296.1551
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-425.1837{col 29}{space 2} 425.3066{col 40}{space 1}   -1.00{col 49}{space 3}0.323{col 57}{space 4}-1281.795{col 70}{space 3} 431.4279
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *Figure A.3
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. binscatter lgprice totspanishdeath if distfuture<=9,  absorb(year) control(distfuture) ytitle("Change in Prices Between Sales (log growth rates)") xtitle("Cumulative % of Spanish Deaths Between Sales (<=9 years)") graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white)) title("New Members Dataset")
{res}{txt}
{com}. 
. graph save figA3, replace
{res}{txt}(file figA3.gph saved)

{com}. 
. areg lgprice totspanishdeath distfuture if distfuture<=9, abs(year) cluster(provcode)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:year}{col 49}No. of categories{col 67}= {res}        49
{txt}{col 49}F({res}   2{txt},{res}     45{txt}){col 67}= {res}     10.83
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.4213
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3056
{txt}{col 49}Root MSE{col 67}= {res}    0.3570

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        lgprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 1.906201{col 29}{space 2} .6600473{col 40}{space 1}    2.89{col 49}{space 3}0.006{col 57}{space 4} .5767979{col 70}{space 3} 3.235605
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} .0142222{col 29}{space 2} .0141734{col 40}{space 1}    1.00{col 49}{space 3}0.321{col 57}{space 4}-.0143245{col 70}{space 3} .0427689
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .0148319{col 29}{space 2} .0481704{col 40}{space 1}    0.31{col 49}{space 3}0.760{col 57}{space 4}-.0821883{col 70}{space 3} .1118522
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *Figure A.4
. 
. use composition.dta, clear
{txt}
{com}. 
. binscatter difprice totspanishdeath if distfuture<=9,  absorb(year) control(distfuture) ytitle("Change in Prices Between Sales (levels)") xtitle("Cumulative % of Spanish Deaths Between Sales (<=9 years)") graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white)) title("All Members Dataset")
{res}{txt}
{com}. 
. graph save figA4, replace
{res}{txt}(file figA4.gph saved)

{com}. 
. areg difprice totspanishdeath distfuture if distfuture<=9, abs(year) cluster(provcode)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:year}{col 49}No. of categories{col 67}= {res}        49
{txt}{col 49}F({res}   2{txt},{res}     45{txt}){col 67}= {res}      5.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0051
{txt}{col 49}R-squared{col 67}= {res}    0.4237
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3084
{txt}{col 49}Root MSE{col 67}= {res} 2392.2804

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       difprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 18257.71{col 29}{space 2} 10044.19{col 40}{space 1}    1.82{col 49}{space 3}0.076{col 57}{space 4}-1972.326{col 70}{space 3} 38487.74
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} 162.8767{col 29}{space 2} 64.10397{col 40}{space 1}    2.54{col 49}{space 3}0.015{col 57}{space 4} 33.76473{col 70}{space 3} 291.9888
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-410.9295{col 29}{space 2} 419.2428{col 40}{space 1}   -0.98{col 49}{space 3}0.332{col 57}{space 4}-1255.328{col 70}{space 3} 433.4688
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *Figure A.5
. 
. use composition.dta, clear
{txt}
{com}. 
. binscatter lgprice totspanishdeath if distfuture<=9,  absorb(year) control(distfuture) ytitle("Change in Prices Between Sales (log growth rates)") xtitle("Cumulative % of Spanish Deaths Between Sales (<=9 years)") graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white)) title("All Members Dataset")
{res}{txt}
{com}. 
. graph save figA5, replace
{res}{txt}(file figA5.gph saved)

{com}. 
. areg lgprice totspanishdeath distfuture if distfuture<=9, abs(year) cluster(provcode)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:year}{col 49}No. of categories{col 67}= {res}        49
{txt}{col 49}F({res}   2{txt},{res}     45{txt}){col 67}= {res}     10.93
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.4226
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3071
{txt}{col 49}Root MSE{col 67}= {res}    0.3567

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        lgprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 2.113923{col 29}{space 2} .7158898{col 40}{space 1}    2.95{col 49}{space 3}0.005{col 57}{space 4} .6720464{col 70}{space 3} 3.555799
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} .0137207{col 29}{space 2} .0141211{col 40}{space 1}    0.97{col 49}{space 3}0.336{col 57}{space 4}-.0147206{col 70}{space 3} .0421619
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .0165848{col 29}{space 2} .0481961{col 40}{space 1}    0.34{col 49}{space 3}0.732{col 57}{space 4}-.0804871{col 70}{space 3} .1136567
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. ***********************************************************************
. ***TABLE A.9: Reduced Form Estimates
. ***********************************************************************
. 
. *new members data
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. replace totspanishdeath = totspanishdeath*100
{txt}(154 real changes made)

{com}. 
. keep if distfuture<=9
{txt}(143 observations deleted)

{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. xi: areg difprice totspanishdeath
> distfuture i.year, abs(provcode) cluster(provcode);
{txt}i.year{col 19}_Iyear_1688-1751{col 39}(naturally coded; _Iyear_1688 omitted)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:provcode}{col 49}No. of categories{col 67}= {res}        46
{txt}{col 49}{help j_robustsingular##|_new:F(  44,     45)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.4860
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2478
{txt}{col 49}Root MSE{col 67}= {res} 2459.0875

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       difprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 206.3719{col 29}{space 2} 111.8073{col 40}{space 1}    1.85{col 49}{space 3}0.072{col 57}{space 4}-18.81943{col 70}{space 3} 431.5633
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} 110.0483{col 29}{space 2} 71.41013{col 40}{space 1}    1.54{col 49}{space 3}0.130{col 57}{space 4}-33.77907{col 70}{space 3} 253.8757
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2}-679.7288{col 29}{space 2} 980.5875{col 40}{space 1}   -0.69{col 49}{space 3}0.492{col 57}{space 4}-2654.734{col 70}{space 3} 1295.276
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2}-353.7074{col 29}{space 2} 1840.358{col 40}{space 1}   -0.19{col 49}{space 3}0.848{col 57}{space 4}-4060.378{col 70}{space 3} 3352.963
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2}-522.6584{col 29}{space 2} 378.6855{col 40}{space 1}   -1.38{col 49}{space 3}0.174{col 57}{space 4} -1285.37{col 70}{space 3} 240.0533
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2} 404.6073{col 29}{space 2} 559.4799{col 40}{space 1}    0.72{col 49}{space 3}0.473{col 57}{space 4} -722.243{col 70}{space 3} 1531.458
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2} 690.2908{col 29}{space 2} 868.1518{col 40}{space 1}    0.80{col 49}{space 3}0.431{col 57}{space 4}-1058.257{col 70}{space 3} 2438.838
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2}-220.4753{col 29}{space 2}  812.282{col 40}{space 1}   -0.27{col 49}{space 3}0.787{col 57}{space 4}-1856.495{col 70}{space 3} 1415.545
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2}-208.5354{col 29}{space 2} 947.8681{col 40}{space 1}   -0.22{col 49}{space 3}0.827{col 57}{space 4} -2117.64{col 70}{space 3} 1700.569
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2}-404.7978{col 29}{space 2} 607.9174{col 40}{space 1}   -0.67{col 49}{space 3}0.509{col 57}{space 4}-1629.206{col 70}{space 3} 819.6108
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2} 319.8043{col 29}{space 2} 505.1857{col 40}{space 1}    0.63{col 49}{space 3}0.530{col 57}{space 4}-697.6919{col 70}{space 3}   1337.3
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2}-329.3474{col 29}{space 2} 759.5382{col 40}{space 1}   -0.43{col 49}{space 3}0.667{col 57}{space 4}-1859.136{col 70}{space 3} 1200.441
{txt}{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}-729.2213{col 29}{space 2} 1693.345{col 40}{space 1}   -0.43{col 49}{space 3}0.669{col 57}{space 4}-4139.793{col 70}{space 3} 2681.351
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2}-1956.437{col 29}{space 2} 771.9605{col 40}{space 1}   -2.53{col 49}{space 3}0.015{col 57}{space 4}-3511.245{col 70}{space 3}-401.6284
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2}  945.526{col 29}{space 2}  638.987{col 40}{space 1}    1.48{col 49}{space 3}0.146{col 57}{space 4}-341.4599{col 70}{space 3} 2232.512
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2} 86.60453{col 29}{space 2} 882.2848{col 40}{space 1}    0.10{col 49}{space 3}0.922{col 57}{space 4}-1690.408{col 70}{space 3} 1863.617
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2} 1021.016{col 29}{space 2}  938.998{col 40}{space 1}    1.09{col 49}{space 3}0.283{col 57}{space 4}-870.2225{col 70}{space 3} 2912.255
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2} 1145.732{col 29}{space 2} 589.0648{col 40}{space 1}    1.95{col 49}{space 3}0.058{col 57}{space 4}-40.70577{col 70}{space 3} 2332.169
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2} 2579.952{col 29}{space 2} 910.9951{col 40}{space 1}    2.83{col 49}{space 3}0.007{col 57}{space 4} 745.1141{col 70}{space 3} 4414.791
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2} 1231.035{col 29}{space 2} 1032.216{col 40}{space 1}    1.19{col 49}{space 3}0.239{col 57}{space 4}-847.9561{col 70}{space 3} 3310.025
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2} 333.3019{col 29}{space 2} 548.7545{col 40}{space 1}    0.61{col 49}{space 3}0.547{col 57}{space 4}-771.9463{col 70}{space 3}  1438.55
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2} 151.2478{col 29}{space 2} 878.1198{col 40}{space 1}    0.17{col 49}{space 3}0.864{col 57}{space 4}-1617.376{col 70}{space 3} 1919.872
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2} 527.1817{col 29}{space 2} 534.0398{col 40}{space 1}    0.99{col 49}{space 3}0.329{col 57}{space 4}-548.4297{col 70}{space 3} 1602.793
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2} 1738.606{col 29}{space 2} 804.7926{col 40}{space 1}    2.16{col 49}{space 3}0.036{col 57}{space 4} 117.6705{col 70}{space 3} 3359.541
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2} 1830.973{col 29}{space 2} 564.5524{col 40}{space 1}    3.24{col 49}{space 3}0.002{col 57}{space 4} 693.9063{col 70}{space 3}  2968.04
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2} 1061.427{col 29}{space 2} 625.6894{col 40}{space 1}    1.70{col 49}{space 3}0.097{col 57}{space 4}-198.7757{col 70}{space 3}  2321.63
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2}-451.0368{col 29}{space 2} 640.4194{col 40}{space 1}   -0.70{col 49}{space 3}0.485{col 57}{space 4}-1740.908{col 70}{space 3} 838.8341
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2} 708.0781{col 29}{space 2} 1292.402{col 40}{space 1}    0.55{col 49}{space 3}0.586{col 57}{space 4}-1894.953{col 70}{space 3} 3311.109
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2}-699.7154{col 29}{space 2} 1046.017{col 40}{space 1}   -0.67{col 49}{space 3}0.507{col 57}{space 4}-2806.502{col 70}{space 3} 1407.071
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2}-1808.295{col 29}{space 2} 1749.164{col 40}{space 1}   -1.03{col 49}{space 3}0.307{col 57}{space 4}-5331.292{col 70}{space 3} 1714.702
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2}-3683.067{col 29}{space 2} 3395.185{col 40}{space 1}   -1.08{col 49}{space 3}0.284{col 57}{space 4}-10521.32{col 70}{space 3} 3155.187
{txt}{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}-2953.331{col 29}{space 2} 694.2921{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-4351.707{col 70}{space 3}-1554.955
{txt}{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2}-821.5605{col 29}{space 2} 775.6999{col 40}{space 1}   -1.06{col 49}{space 3}0.295{col 57}{space 4}  -2383.9{col 70}{space 3} 740.7794
{txt}{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2}-1409.301{col 29}{space 2} 1374.031{col 40}{space 1}   -1.03{col 49}{space 3}0.311{col 57}{space 4}-4176.742{col 70}{space 3}  1358.14
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2} 20.79118{col 29}{space 2} 1320.925{col 40}{space 1}    0.02{col 49}{space 3}0.988{col 57}{space 4}-2639.689{col 70}{space 3} 2681.271
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2}-508.3219{col 29}{space 2}  3771.62{col 40}{space 1}   -0.13{col 49}{space 3}0.893{col 57}{space 4}-8104.754{col 70}{space 3} 7088.111
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2} 1692.771{col 29}{space 2} 1567.527{col 40}{space 1}    1.08{col 49}{space 3}0.286{col 57}{space 4} -1464.39{col 70}{space 3} 4849.932
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2}  6045.02{col 29}{space 2}  1340.02{col 40}{space 1}    4.51{col 49}{space 3}0.000{col 57}{space 4} 3346.082{col 70}{space 3} 8743.959
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2} 4987.612{col 29}{space 2} 1044.178{col 40}{space 1}    4.78{col 49}{space 3}0.000{col 57}{space 4}  2884.53{col 70}{space 3} 7090.695
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2} 1465.136{col 29}{space 2} 1939.691{col 40}{space 1}    0.76{col 49}{space 3}0.454{col 57}{space 4}-2441.603{col 70}{space 3} 5371.875
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2} 2340.531{col 29}{space 2} 1553.815{col 40}{space 1}    1.51{col 49}{space 3}0.139{col 57}{space 4}-789.0134{col 70}{space 3} 5470.076
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2} 2142.662{col 29}{space 2} 1122.401{col 40}{space 1}    1.91{col 49}{space 3}0.063{col 57}{space 4}-117.9694{col 70}{space 3} 4403.292
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2}-1364.794{col 29}{space 2} 2402.781{col 40}{space 1}   -0.57{col 49}{space 3}0.573{col 57}{space 4}-6204.244{col 70}{space 3} 3474.656
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2}-2551.556{col 29}{space 2} 1988.593{col 40}{space 1}   -1.28{col 49}{space 3}0.206{col 57}{space 4}-6556.788{col 70}{space 3} 1453.675
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2}-1587.006{col 29}{space 2} 2684.449{col 40}{space 1}   -0.59{col 49}{space 3}0.557{col 57}{space 4}-6993.763{col 70}{space 3} 3819.751
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2} 772.8297{col 29}{space 2} 962.1759{col 40}{space 1}    0.80{col 49}{space 3}0.426{col 57}{space 4}-1165.092{col 70}{space 3} 2710.752
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2} 3069.631{col 29}{space 2} 2107.336{col 40}{space 1}    1.46{col 49}{space 3}0.152{col 57}{space 4}-1174.761{col 70}{space 3} 7314.023
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2} 909.5868{col 29}{space 2} 2914.568{col 40}{space 1}    0.31{col 49}{space 3}0.756{col 57}{space 4}-4960.655{col 70}{space 3} 6779.829
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2}-1387.873{col 29}{space 2}  1332.45{col 40}{space 1}   -1.04{col 49}{space 3}0.303{col 57}{space 4}-4071.566{col 70}{space 3} 1295.819
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2} 5316.662{col 29}{space 2} 2504.034{col 40}{space 1}    2.12{col 49}{space 3}0.039{col 57}{space 4} 273.2791{col 70}{space 3} 10360.05
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-898.5166{col 29}{space 2}  413.369{col 40}{space 1}   -2.17{col 49}{space 3}0.035{col 57}{space 4}-1731.084{col 70}{space 3}-65.94882
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. sum difprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}
{com}. local mean = r(mean);
{txt}
{com}. outreg2 using TableA9.tex, replace pvalue bdec(3) tdec(3) nocons noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}{stata `"shellout using `"TableA9.tex"'"':TableA9.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA9.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit ;
{txt}delimiter now ;
{com}. areg lgprice totspanishdeath
> distfuture i.year, abs(provcode) cluster(provcode);
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:provcode}{col 49}No. of categories{col 67}= {res}        46
{txt}{col 49}{help j_robustsingular##|_new:F(  44,     45)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.4975
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2646
{txt}{col 49}Root MSE{col 67}= {res}    0.3622

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        lgprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} .0221531{col 29}{space 2}  .009377{col 40}{space 1}    2.36{col 49}{space 3}0.023{col 57}{space 4} .0032668{col 70}{space 3} .0410394
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} .0070704{col 29}{space 2} .0166453{col 40}{space 1}    0.42{col 49}{space 3}0.673{col 57}{space 4}-.0264549{col 70}{space 3} .0405958
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1689  {c |}{col 17}{res}{space 2}-.4858438{col 29}{space 2} .3732318{col 40}{space 1}   -1.30{col 49}{space 3}0.200{col 57}{space 4}-1.237571{col 70}{space 3} .2658836
{txt}{space 10}1690  {c |}{col 17}{res}{space 2}-.0858781{col 29}{space 2} .4307249{col 40}{space 1}   -0.20{col 49}{space 3}0.843{col 57}{space 4}-.9534027{col 70}{space 3} .7816465
{txt}{space 10}1691  {c |}{col 17}{res}{space 2}-.4207426{col 29}{space 2} .2085794{col 40}{space 1}   -2.02{col 49}{space 3}0.050{col 57}{space 4} -.840843{col 70}{space 3}-.0006422
{txt}{space 10}1692  {c |}{col 17}{res}{space 2} .0169286{col 29}{space 2} .2830088{col 40}{space 1}    0.06{col 49}{space 3}0.953{col 57}{space 4}-.5530803{col 70}{space 3} .5869375
{txt}{space 10}1693  {c |}{col 17}{res}{space 2} .0650601{col 29}{space 2} .3760198{col 40}{space 1}    0.17{col 49}{space 3}0.863{col 57}{space 4}-.6922826{col 70}{space 3} .8224028
{txt}{space 10}1694  {c |}{col 17}{res}{space 2}-.0215925{col 29}{space 2} .2864317{col 40}{space 1}   -0.08{col 49}{space 3}0.940{col 57}{space 4}-.5984956{col 70}{space 3} .5553106
{txt}{space 10}1695  {c |}{col 17}{res}{space 2}-.2240286{col 29}{space 2} .4196418{col 40}{space 1}   -0.53{col 49}{space 3}0.596{col 57}{space 4}-1.069231{col 70}{space 3} .6211733
{txt}{space 10}1696  {c |}{col 17}{res}{space 2}-.0631207{col 29}{space 2} .3166441{col 40}{space 1}   -0.20{col 49}{space 3}0.843{col 57}{space 4}-.7008747{col 70}{space 3} .5746333
{txt}{space 10}1697  {c |}{col 17}{res}{space 2}-.0727575{col 29}{space 2} .2855295{col 40}{space 1}   -0.25{col 49}{space 3}0.800{col 57}{space 4}-.6478434{col 70}{space 3} .5023284
{txt}{space 10}1698  {c |}{col 17}{res}{space 2}-.3625608{col 29}{space 2} .4636111{col 40}{space 1}   -0.78{col 49}{space 3}0.438{col 57}{space 4}-1.296321{col 70}{space 3} .5711998
{txt}{space 10}1700  {c |}{col 17}{res}{space 2}-.1588978{col 29}{space 2} .5429031{col 40}{space 1}   -0.29{col 49}{space 3}0.771{col 57}{space 4}-1.252361{col 70}{space 3} .9345651
{txt}{space 10}1704  {c |}{col 17}{res}{space 2}-.4528964{col 29}{space 2}  .276934{col 40}{space 1}   -1.64{col 49}{space 3}0.109{col 57}{space 4} -1.01067{col 70}{space 3} .1048773
{txt}{space 10}1705  {c |}{col 17}{res}{space 2} .4240597{col 29}{space 2} .2826373{col 40}{space 1}    1.50{col 49}{space 3}0.141{col 57}{space 4}-.1452009{col 70}{space 3} .9933204
{txt}{space 10}1706  {c |}{col 17}{res}{space 2} .1057583{col 29}{space 2} .3348874{col 40}{space 1}    0.32{col 49}{space 3}0.754{col 57}{space 4}-.5687396{col 70}{space 3} .7802562
{txt}{space 10}1707  {c |}{col 17}{res}{space 2} .2751736{col 29}{space 2} .2575624{col 40}{space 1}    1.07{col 49}{space 3}0.291{col 57}{space 4}-.2435838{col 70}{space 3} .7939309
{txt}{space 10}1708  {c |}{col 17}{res}{space 2} .1948355{col 29}{space 2} .2741737{col 40}{space 1}    0.71{col 49}{space 3}0.481{col 57}{space 4}-.3573786{col 70}{space 3} .7470496
{txt}{space 10}1709  {c |}{col 17}{res}{space 2} .6713501{col 29}{space 2} .2858262{col 40}{space 1}    2.35{col 49}{space 3}0.023{col 57}{space 4} .0956665{col 70}{space 3} 1.247034
{txt}{space 10}1710  {c |}{col 17}{res}{space 2} .3267916{col 29}{space 2} .4167224{col 40}{space 1}    0.78{col 49}{space 3}0.437{col 57}{space 4}-.5125304{col 70}{space 3} 1.166114
{txt}{space 10}1711  {c |}{col 17}{res}{space 2}-.0169874{col 29}{space 2} .2807478{col 40}{space 1}   -0.06{col 49}{space 3}0.952{col 57}{space 4}-.5824425{col 70}{space 3} .5484677
{txt}{space 10}1712  {c |}{col 17}{res}{space 2} .0008366{col 29}{space 2} .2704116{col 40}{space 1}    0.00{col 49}{space 3}0.998{col 57}{space 4}-.5438002{col 70}{space 3} .5454735
{txt}{space 10}1713  {c |}{col 17}{res}{space 2} .0535219{col 29}{space 2} .2725037{col 40}{space 1}    0.20{col 49}{space 3}0.845{col 57}{space 4}-.4953288{col 70}{space 3} .6023726
{txt}{space 10}1714  {c |}{col 17}{res}{space 2} .5616212{col 29}{space 2} .3727855{col 40}{space 1}    1.51{col 49}{space 3}0.139{col 57}{space 4}-.1892074{col 70}{space 3}  1.31245
{txt}{space 10}1715  {c |}{col 17}{res}{space 2} .5650402{col 29}{space 2} .2947394{col 40}{space 1}    1.92{col 49}{space 3}0.062{col 57}{space 4}-.0285954{col 70}{space 3} 1.158676
{txt}{space 10}1716  {c |}{col 17}{res}{space 2} .2623241{col 29}{space 2} .2792209{col 40}{space 1}    0.94{col 49}{space 3}0.352{col 57}{space 4}-.3000556{col 70}{space 3} .8247038
{txt}{space 10}1717  {c |}{col 17}{res}{space 2}-.4431159{col 29}{space 2} .5257083{col 40}{space 1}   -0.84{col 49}{space 3}0.404{col 57}{space 4}-1.501947{col 70}{space 3} .6157149
{txt}{space 10}1718  {c |}{col 17}{res}{space 2} .3787032{col 29}{space 2} .3003091{col 40}{space 1}    1.26{col 49}{space 3}0.214{col 57}{space 4}-.2261503{col 70}{space 3} .9835567
{txt}{space 10}1719  {c |}{col 17}{res}{space 2} .0351357{col 29}{space 2} .2788729{col 40}{space 1}    0.13{col 49}{space 3}0.900{col 57}{space 4}-.5265431{col 70}{space 3} .5968144
{txt}{space 10}1720  {c |}{col 17}{res}{space 2}-.1988225{col 29}{space 2} .2558529{col 40}{space 1}   -0.78{col 49}{space 3}0.441{col 57}{space 4}-.7141366{col 70}{space 3} .3164916
{txt}{space 10}1728  {c |}{col 17}{res}{space 2}-.0903909{col 29}{space 2} .3439532{col 40}{space 1}   -0.26{col 49}{space 3}0.794{col 57}{space 4}-.7831482{col 70}{space 3} .6023665
{txt}{space 10}1731  {c |}{col 17}{res}{space 2}-.6339451{col 29}{space 2} .2858519{col 40}{space 1}   -2.22{col 49}{space 3}0.032{col 57}{space 4} -1.20968{col 70}{space 3}-.0582098
{txt}{space 10}1732  {c |}{col 17}{res}{space 2}-.2490516{col 29}{space 2} .2923555{col 40}{space 1}   -0.85{col 49}{space 3}0.399{col 57}{space 4}-.8378858{col 70}{space 3} .3397825
{txt}{space 10}1734  {c |}{col 17}{res}{space 2}-.1621115{col 29}{space 2} .2859866{col 40}{space 1}   -0.57{col 49}{space 3}0.574{col 57}{space 4}-.7381181{col 70}{space 3} .4138951
{txt}{space 10}1735  {c |}{col 17}{res}{space 2} .1946801{col 29}{space 2} .3058546{col 40}{space 1}    0.64{col 49}{space 3}0.528{col 57}{space 4}-.4213426{col 70}{space 3} .8107028
{txt}{space 10}1736  {c |}{col 17}{res}{space 2}-.0910132{col 29}{space 2}  .907327{col 40}{space 1}   -0.10{col 49}{space 3}0.921{col 57}{space 4}-1.918464{col 70}{space 3} 1.736437
{txt}{space 10}1737  {c |}{col 17}{res}{space 2} .1971117{col 29}{space 2} .3387663{col 40}{space 1}    0.58{col 49}{space 3}0.564{col 57}{space 4}-.4851986{col 70}{space 3} .8794219
{txt}{space 10}1738  {c |}{col 17}{res}{space 2} .7758415{col 29}{space 2} .2847183{col 40}{space 1}    2.72{col 49}{space 3}0.009{col 57}{space 4} .2023894{col 70}{space 3} 1.349294
{txt}{space 10}1739  {c |}{col 17}{res}{space 2} .7485036{col 29}{space 2} .2117142{col 40}{space 1}    3.54{col 49}{space 3}0.001{col 57}{space 4} .3220894{col 70}{space 3} 1.174918
{txt}{space 10}1740  {c |}{col 17}{res}{space 2} .0806957{col 29}{space 2} .4202499{col 40}{space 1}    0.19{col 49}{space 3}0.849{col 57}{space 4} -.765731{col 70}{space 3} .9271224
{txt}{space 10}1741  {c |}{col 17}{res}{space 2} .3524591{col 29}{space 2} .3911349{col 40}{space 1}    0.90{col 49}{space 3}0.372{col 57}{space 4} -.435327{col 70}{space 3} 1.140245
{txt}{space 10}1742  {c |}{col 17}{res}{space 2} .4116075{col 29}{space 2} .3752943{col 40}{space 1}    1.10{col 49}{space 3}0.279{col 57}{space 4}-.3442741{col 70}{space 3} 1.167489
{txt}{space 10}1744  {c |}{col 17}{res}{space 2}-.0382093{col 29}{space 2} .2722929{col 40}{space 1}   -0.14{col 49}{space 3}0.889{col 57}{space 4}-.5866354{col 70}{space 3} .5102169
{txt}{space 10}1745  {c |}{col 17}{res}{space 2}-.2057338{col 29}{space 2} .2872494{col 40}{space 1}   -0.72{col 49}{space 3}0.478{col 57}{space 4}-.7842839{col 70}{space 3} .3728162
{txt}{space 10}1746  {c |}{col 17}{res}{space 2}-.2580675{col 29}{space 2} .3808653{col 40}{space 1}   -0.68{col 49}{space 3}0.502{col 57}{space 4} -1.02517{col 70}{space 3} .5090345
{txt}{space 10}1747  {c |}{col 17}{res}{space 2} .0099938{col 29}{space 2} .2711491{col 40}{space 1}    0.04{col 49}{space 3}0.971{col 57}{space 4}-.5361286{col 70}{space 3} .5561162
{txt}{space 10}1748  {c |}{col 17}{res}{space 2} .2086646{col 29}{space 2} .2890619{col 40}{space 1}    0.72{col 49}{space 3}0.474{col 57}{space 4}-.3735359{col 70}{space 3} .7908652
{txt}{space 10}1749  {c |}{col 17}{res}{space 2} .0610182{col 29}{space 2} .2702488{col 40}{space 1}    0.23{col 49}{space 3}0.822{col 57}{space 4}-.4832909{col 70}{space 3} .6053272
{txt}{space 10}1750  {c |}{col 17}{res}{space 2}-.0818388{col 29}{space 2} .3222942{col 40}{space 1}   -0.25{col 49}{space 3}0.801{col 57}{space 4}-.7309727{col 70}{space 3}  .567295
{txt}{space 10}1751  {c |}{col 17}{res}{space 2} .2919537{col 29}{space 2} .2990292{col 40}{space 1}    0.98{col 49}{space 3}0.334{col 57}{space 4}-.3103221{col 70}{space 3} .8942294
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -.065703{col 29}{space 2} .2599838{col 40}{space 1}   -0.25{col 49}{space 3}0.802{col 57}{space 4}-.5893372{col 70}{space 3} .4579311
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. sum lgprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        301    .1435135    .4284629  -1.252763   1.203973
{txt}
{com}. local mean = r(mean);
{txt}
{com}. outreg2 using TableA9.tex, append pvalue bdec(3) tdec(3) nocons noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}{stata `"shellout using `"TableA9.tex"'"':TableA9.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA9.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. replace totspanishdeath = totspanishdeath*100
{txt}(154 real changes made)

{com}. 
. keep if distfuture<=9
{txt}(143 observations deleted)

{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. areg difprice totspanishdeath
> distfuture i.year, abs(provcode) cluster(provcode);
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:provcode}{col 49}No. of categories{col 67}= {res}        46
{txt}{col 49}{help j_robustsingular##|_new:F(  44,     45)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.4883
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2512
{txt}{col 49}Root MSE{col 67}= {res} 2453.6442

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       difprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 227.3727{col 29}{space 2} 121.5055{col 40}{space 1}    1.87{col 49}{space 3}0.068{col 57}{space 4}-17.35191{col 70}{space 3} 472.0973
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} 105.5536{col 29}{space 2} 71.53973{col 40}{space 1}    1.48{col 49}{space 3}0.147{col 57}{space 4}-38.53478{col 70}{space 3}  249.642
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1689  {c |}{col 17}{res}{space 2}-663.9415{col 29}{space 2} 984.2424{col 40}{space 1}   -0.67{col 49}{space 3}0.503{col 57}{space 4}-2646.307{col 70}{space 3} 1318.424
{txt}{space 10}1690  {c |}{col 17}{res}{space 2}-341.0748{col 29}{space 2} 1839.515{col 40}{space 1}   -0.19{col 49}{space 3}0.854{col 57}{space 4}-4046.049{col 70}{space 3} 3363.899
{txt}{space 10}1691  {c |}{col 17}{res}{space 2}-511.8777{col 29}{space 2} 376.9884{col 40}{space 1}   -1.36{col 49}{space 3}0.181{col 57}{space 4}-1271.171{col 70}{space 3} 247.4159
{txt}{space 10}1692  {c |}{col 17}{res}{space 2} 425.5077{col 29}{space 2} 557.9654{col 40}{space 1}    0.76{col 49}{space 3}0.450{col 57}{space 4}-698.2923{col 70}{space 3} 1549.308
{txt}{space 10}1693  {c |}{col 17}{res}{space 2} 700.6226{col 29}{space 2}  864.795{col 40}{space 1}    0.81{col 49}{space 3}0.422{col 57}{space 4}-1041.164{col 70}{space 3} 2442.409
{txt}{space 10}1694  {c |}{col 17}{res}{space 2}-195.6185{col 29}{space 2}  809.179{col 40}{space 1}   -0.24{col 49}{space 3}0.810{col 57}{space 4}-1825.389{col 70}{space 3} 1434.152
{txt}{space 10}1695  {c |}{col 17}{res}{space 2}-185.2562{col 29}{space 2} 951.4566{col 40}{space 1}   -0.19{col 49}{space 3}0.846{col 57}{space 4}-2101.588{col 70}{space 3} 1731.076
{txt}{space 10}1696  {c |}{col 17}{res}{space 2}-380.2336{col 29}{space 2} 601.1985{col 40}{space 1}   -0.63{col 49}{space 3}0.530{col 57}{space 4} -1591.11{col 70}{space 3} 830.6424
{txt}{space 10}1697  {c |}{col 17}{res}{space 2} 345.8201{col 29}{space 2} 505.2554{col 40}{space 1}    0.68{col 49}{space 3}0.497{col 57}{space 4}-671.8166{col 70}{space 3} 1363.457
{txt}{space 10}1698  {c |}{col 17}{res}{space 2}-309.9196{col 29}{space 2} 753.7389{col 40}{space 1}   -0.41{col 49}{space 3}0.683{col 57}{space 4}-1828.028{col 70}{space 3} 1208.189
{txt}{space 10}1700  {c |}{col 17}{res}{space 2}-700.0795{col 29}{space 2} 1680.748{col 40}{space 1}   -0.42{col 49}{space 3}0.679{col 57}{space 4}-4085.279{col 70}{space 3}  2685.12
{txt}{space 10}1704  {c |}{col 17}{res}{space 2}  -1934.3{col 29}{space 2} 765.2826{col 40}{space 1}   -2.53{col 49}{space 3}0.015{col 57}{space 4}-3475.658{col 70}{space 3}-392.9415
{txt}{space 10}1705  {c |}{col 17}{res}{space 2} 977.1648{col 29}{space 2} 633.0055{col 40}{space 1}    1.54{col 49}{space 3}0.130{col 57}{space 4}-297.7737{col 70}{space 3} 2252.103
{txt}{space 10}1706  {c |}{col 17}{res}{space 2} 124.7102{col 29}{space 2}  876.805{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-1641.266{col 70}{space 3} 1890.686
{txt}{space 10}1707  {c |}{col 17}{res}{space 2} 1053.845{col 29}{space 2} 936.0387{col 40}{space 1}    1.13{col 49}{space 3}0.266{col 57}{space 4}-831.4335{col 70}{space 3} 2939.124
{txt}{space 10}1708  {c |}{col 17}{res}{space 2} 1157.169{col 29}{space 2} 586.7404{col 40}{space 1}    1.97{col 49}{space 3}0.055{col 57}{space 4} -24.5872{col 70}{space 3} 2338.924
{txt}{space 10}1709  {c |}{col 17}{res}{space 2} 2586.262{col 29}{space 2} 907.5246{col 40}{space 1}    2.85{col 49}{space 3}0.007{col 57}{space 4} 758.4136{col 70}{space 3}  4414.11
{txt}{space 10}1710  {c |}{col 17}{res}{space 2} 1252.559{col 29}{space 2} 1027.966{col 40}{space 1}    1.22{col 49}{space 3}0.229{col 57}{space 4}-817.8709{col 70}{space 3} 3322.989
{txt}{space 10}1711  {c |}{col 17}{res}{space 2} 341.5441{col 29}{space 2} 546.3291{col 40}{space 1}    0.63{col 49}{space 3}0.535{col 57}{space 4}-758.8192{col 70}{space 3} 1441.907
{txt}{space 10}1712  {c |}{col 17}{res}{space 2} 172.1361{col 29}{space 2} 876.5129{col 40}{space 1}    0.20{col 49}{space 3}0.845{col 57}{space 4}-1593.251{col 70}{space 3} 1937.524
{txt}{space 10}1713  {c |}{col 17}{res}{space 2} 545.1426{col 29}{space 2}  533.652{col 40}{space 1}    1.02{col 49}{space 3}0.312{col 57}{space 4}-529.6876{col 70}{space 3} 1619.973
{txt}{space 10}1714  {c |}{col 17}{res}{space 2} 1751.048{col 29}{space 2} 803.3795{col 40}{space 1}    2.18{col 49}{space 3}0.035{col 57}{space 4} 132.9586{col 70}{space 3} 3369.138
{txt}{space 10}1715  {c |}{col 17}{res}{space 2}  1843.91{col 29}{space 2} 562.9817{col 40}{space 1}    3.28{col 49}{space 3}0.002{col 57}{space 4} 710.0067{col 70}{space 3} 2977.813
{txt}{space 10}1716  {c |}{col 17}{res}{space 2} 1083.022{col 29}{space 2} 618.7217{col 40}{space 1}    1.75{col 49}{space 3}0.087{col 57}{space 4}-163.1473{col 70}{space 3} 2329.192
{txt}{space 10}1717  {c |}{col 17}{res}{space 2}-438.3511{col 29}{space 2} 635.8721{col 40}{space 1}   -0.69{col 49}{space 3}0.494{col 57}{space 4}-1719.063{col 70}{space 3} 842.3611
{txt}{space 10}1718  {c |}{col 17}{res}{space 2} 800.5403{col 29}{space 2}  1264.73{col 40}{space 1}    0.63{col 49}{space 3}0.530{col 57}{space 4}-1746.758{col 70}{space 3} 3347.838
{txt}{space 10}1719  {c |}{col 17}{res}{space 2}-621.6486{col 29}{space 2} 1013.197{col 40}{space 1}   -0.61{col 49}{space 3}0.543{col 57}{space 4}-2662.332{col 70}{space 3} 1419.034
{txt}{space 10}1720  {c |}{col 17}{res}{space 2}-1945.983{col 29}{space 2} 1780.014{col 40}{space 1}   -1.09{col 49}{space 3}0.280{col 57}{space 4}-5531.115{col 70}{space 3} 1639.149
{txt}{space 10}1728  {c |}{col 17}{res}{space 2}-3618.657{col 29}{space 2} 3326.912{col 40}{space 1}   -1.09{col 49}{space 3}0.283{col 57}{space 4} -10319.4{col 70}{space 3} 3082.088
{txt}{space 10}1731  {c |}{col 17}{res}{space 2}-2943.594{col 29}{space 2} 692.3973{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-4338.154{col 70}{space 3}-1549.035
{txt}{space 10}1732  {c |}{col 17}{res}{space 2}-802.3288{col 29}{space 2}  774.821{col 40}{space 1}   -1.04{col 49}{space 3}0.306{col 57}{space 4}-2362.898{col 70}{space 3} 758.2408
{txt}{space 10}1734  {c |}{col 17}{res}{space 2}-1186.599{col 29}{space 2} 1259.379{col 40}{space 1}   -0.94{col 49}{space 3}0.351{col 57}{space 4}-3723.119{col 70}{space 3}  1349.92
{txt}{space 10}1735  {c |}{col 17}{res}{space 2} 242.5322{col 29}{space 2}  1223.86{col 40}{space 1}    0.20{col 49}{space 3}0.844{col 57}{space 4}-2222.448{col 70}{space 3} 2707.512
{txt}{space 10}1736  {c |}{col 17}{res}{space 2}-395.4527{col 29}{space 2} 3682.779{col 40}{space 1}   -0.11{col 49}{space 3}0.915{col 57}{space 4} -7812.95{col 70}{space 3} 7022.044
{txt}{space 10}1737  {c |}{col 17}{res}{space 2} 1749.222{col 29}{space 2}  1536.72{col 40}{space 1}    1.14{col 49}{space 3}0.261{col 57}{space 4}-1345.891{col 70}{space 3} 4844.335
{txt}{space 10}1738  {c |}{col 17}{res}{space 2} 6085.968{col 29}{space 2} 1335.292{col 40}{space 1}    4.56{col 49}{space 3}0.000{col 57}{space 4} 3396.552{col 70}{space 3} 8775.384
{txt}{space 10}1739  {c |}{col 17}{res}{space 2}  5220.32{col 29}{space 2} 937.7525{col 40}{space 1}    5.57{col 49}{space 3}0.000{col 57}{space 4} 3331.589{col 70}{space 3}  7109.05
{txt}{space 10}1740  {c |}{col 17}{res}{space 2} 1530.422{col 29}{space 2} 1928.396{col 40}{space 1}    0.79{col 49}{space 3}0.432{col 57}{space 4}-2353.568{col 70}{space 3} 5414.412
{txt}{space 10}1741  {c |}{col 17}{res}{space 2} 2398.484{col 29}{space 2} 1568.569{col 40}{space 1}    1.53{col 49}{space 3}0.133{col 57}{space 4}-760.7752{col 70}{space 3} 5557.744
{txt}{space 10}1742  {c |}{col 17}{res}{space 2} 2177.068{col 29}{space 2} 1127.761{col 40}{space 1}    1.93{col 49}{space 3}0.060{col 57}{space 4}-94.35958{col 70}{space 3} 4448.495
{txt}{space 10}1744  {c |}{col 17}{res}{space 2}-1487.241{col 29}{space 2} 2438.214{col 40}{space 1}   -0.61{col 49}{space 3}0.545{col 57}{space 4}-6398.057{col 70}{space 3} 3423.575
{txt}{space 10}1745  {c |}{col 17}{res}{space 2}-2643.397{col 29}{space 2} 2026.332{col 40}{space 1}   -1.30{col 49}{space 3}0.199{col 57}{space 4}-6724.639{col 70}{space 3} 1437.845
{txt}{space 10}1746  {c |}{col 17}{res}{space 2}-1699.258{col 29}{space 2} 2706.529{col 40}{space 1}   -0.63{col 49}{space 3}0.533{col 57}{space 4}-7150.488{col 70}{space 3} 3751.971
{txt}{space 10}1747  {c |}{col 17}{res}{space 2}  701.109{col 29}{space 2} 958.5607{col 40}{space 1}    0.73{col 49}{space 3}0.468{col 57}{space 4}-1229.531{col 70}{space 3} 2631.749
{txt}{space 10}1748  {c |}{col 17}{res}{space 2} 3012.516{col 29}{space 2} 2113.607{col 40}{space 1}    1.43{col 49}{space 3}0.161{col 57}{space 4}-1244.508{col 70}{space 3} 7269.539
{txt}{space 10}1749  {c |}{col 17}{res}{space 2} 873.6213{col 29}{space 2} 2921.391{col 40}{space 1}    0.30{col 49}{space 3}0.766{col 57}{space 4}-5010.361{col 70}{space 3} 6757.604
{txt}{space 10}1750  {c |}{col 17}{res}{space 2}-1397.577{col 29}{space 2} 1324.667{col 40}{space 1}   -1.06{col 49}{space 3}0.297{col 57}{space 4}-4065.594{col 70}{space 3}  1270.44
{txt}{space 10}1751  {c |}{col 17}{res}{space 2} 5273.234{col 29}{space 2} 2529.163{col 40}{space 1}    2.08{col 49}{space 3}0.043{col 57}{space 4} 179.2391{col 70}{space 3} 10367.23
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-900.4351{col 29}{space 2}  411.643{col 40}{space 1}   -2.19{col 49}{space 3}0.034{col 57}{space 4}-1729.527{col 70}{space 3}-71.34359
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. sum difprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}
{com}. local mean = r(mean);
{txt}
{com}. outreg2 using TableA9.tex, append pvalue bdec(3) tdec(3) nocons noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}{stata `"shellout using `"TableA9.tex"'"':TableA9.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA9.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit ;
{txt}delimiter now ;
{com}. areg lgprice totspanishdeath
> distfuture i.year, abs(provcode) cluster(provcode);
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       301
{txt}Absorbed variable: {bf:provcode}{col 49}No. of categories{col 67}= {res}        46
{txt}{col 49}{help j_robustsingular##|_new:F(  44,     45)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.4989
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2667
{txt}{col 49}Root MSE{col 67}= {res}    0.3617

{txt}{ralign 81:(Std. Err. adjusted for {res:46} clusters in provcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        lgprice{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} .0245615{col 29}{space 2} .0102169{col 40}{space 1}    2.40{col 49}{space 3}0.020{col 57}{space 4} .0039837{col 70}{space 3} .0451393
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} .0064182{col 29}{space 2} .0166529{col 40}{space 1}    0.39{col 49}{space 3}0.702{col 57}{space 4}-.0271225{col 70}{space 3} .0399589
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1689  {c |}{col 17}{res}{space 2}-.4839845{col 29}{space 2} .3734896{col 40}{space 1}   -1.30{col 49}{space 3}0.202{col 57}{space 4}-1.236231{col 70}{space 3} .2682621
{txt}{space 10}1690  {c |}{col 17}{res}{space 2} -.084489{col 29}{space 2} .4305017{col 40}{space 1}   -0.20{col 49}{space 3}0.845{col 57}{space 4}-.9515639{col 70}{space 3}  .782586
{txt}{space 10}1691  {c |}{col 17}{res}{space 2}-.4192947{col 29}{space 2} .2083524{col 40}{space 1}   -2.01{col 49}{space 3}0.050{col 57}{space 4}-.8389381{col 70}{space 3} .0003487
{txt}{space 10}1692  {c |}{col 17}{res}{space 2}  .019646{col 29}{space 2} .2826671{col 40}{space 1}    0.07{col 49}{space 3}0.945{col 57}{space 4}-.5496748{col 70}{space 3} .5889668
{txt}{space 10}1693  {c |}{col 17}{res}{space 2} .0663806{col 29}{space 2} .3755583{col 40}{space 1}    0.18{col 49}{space 3}0.860{col 57}{space 4}-.6900326{col 70}{space 3} .8227937
{txt}{space 10}1694  {c |}{col 17}{res}{space 2}-.0182649{col 29}{space 2} .2858772{col 40}{space 1}   -0.06{col 49}{space 3}0.949{col 57}{space 4}-.5940511{col 70}{space 3} .5575213
{txt}{space 10}1695  {c |}{col 17}{res}{space 2}-.2211988{col 29}{space 2} .4201081{col 40}{space 1}   -0.53{col 49}{space 3}0.601{col 57}{space 4} -1.06734{col 70}{space 3} .6249422
{txt}{space 10}1696  {c |}{col 17}{res}{space 2}-.0600673{col 29}{space 2} .3161615{col 40}{space 1}   -0.19{col 49}{space 3}0.850{col 57}{space 4}-.6968492{col 70}{space 3} .5767146
{txt}{space 10}1697  {c |}{col 17}{res}{space 2}-.0695243{col 29}{space 2} .2848779{col 40}{space 1}   -0.24{col 49}{space 3}0.808{col 57}{space 4}-.6432978{col 70}{space 3} .5042493
{txt}{space 10}1698  {c |}{col 17}{res}{space 2}-.3599625{col 29}{space 2} .4638906{col 40}{space 1}   -0.78{col 49}{space 3}0.442{col 57}{space 4}-1.294286{col 70}{space 3} .5743611
{txt}{space 10}1700  {c |}{col 17}{res}{space 2}  -.15511{col 29}{space 2} .5416822{col 40}{space 1}   -0.29{col 49}{space 3}0.776{col 57}{space 4}-1.246114{col 70}{space 3}  .935894
{txt}{space 10}1704  {c |}{col 17}{res}{space 2}-.4498893{col 29}{space 2} .2765547{col 40}{space 1}   -1.63{col 49}{space 3}0.111{col 57}{space 4}-1.006899{col 70}{space 3} .1071205
{txt}{space 10}1705  {c |}{col 17}{res}{space 2} .4282839{col 29}{space 2} .2822563{col 40}{space 1}    1.52{col 49}{space 3}0.136{col 57}{space 4}-.1402095{col 70}{space 3} .9967773
{txt}{space 10}1706  {c |}{col 17}{res}{space 2} .1109897{col 29}{space 2}  .333986{col 40}{space 1}    0.33{col 49}{space 3}0.741{col 57}{space 4}-.5616926{col 70}{space 3} .7836719
{txt}{space 10}1707  {c |}{col 17}{res}{space 2} .2801613{col 29}{space 2} .2566563{col 40}{space 1}    1.09{col 49}{space 3}0.281{col 57}{space 4}-.2367711{col 70}{space 3} .7970937
{txt}{space 10}1708  {c |}{col 17}{res}{space 2} .1963679{col 29}{space 2} .2737469{col 40}{space 1}    0.72{col 49}{space 3}0.477{col 57}{space 4}-.3549866{col 70}{space 3} .7477225
{txt}{space 10}1709  {c |}{col 17}{res}{space 2} .6722158{col 29}{space 2} .2851899{col 40}{space 1}    2.36{col 49}{space 3}0.023{col 57}{space 4} .0978139{col 70}{space 3} 1.246618
{txt}{space 10}1710  {c |}{col 17}{res}{space 2} .3294831{col 29}{space 2} .4165373{col 40}{space 1}    0.79{col 49}{space 3}0.433{col 57}{space 4} -.509466{col 70}{space 3} 1.168432
{txt}{space 10}1711  {c |}{col 17}{res}{space 2}-.0158323{col 29}{space 2} .2803636{col 40}{space 1}   -0.06{col 49}{space 3}0.955{col 57}{space 4}-.5805135{col 70}{space 3} .5488489
{txt}{space 10}1712  {c |}{col 17}{res}{space 2} .0034575{col 29}{space 2} .2700986{col 40}{space 1}    0.01{col 49}{space 3}0.990{col 57}{space 4} -.540549{col 70}{space 3}  .547464
{txt}{space 10}1713  {c |}{col 17}{res}{space 2} .0556482{col 29}{space 2} .2722606{col 40}{space 1}    0.20{col 49}{space 3}0.839{col 57}{space 4}-.4927129{col 70}{space 3} .6040092
{txt}{space 10}1714  {c |}{col 17}{res}{space 2} .5633153{col 29}{space 2} .3727356{col 40}{space 1}    1.51{col 49}{space 3}0.138{col 57}{space 4}-.1874128{col 70}{space 3} 1.314043
{txt}{space 10}1715  {c |}{col 17}{res}{space 2} .5669189{col 29}{space 2} .2944739{col 40}{space 1}    1.93{col 49}{space 3}0.061{col 57}{space 4}-.0261819{col 70}{space 3}  1.16002
{txt}{space 10}1716  {c |}{col 17}{res}{space 2} .2649979{col 29}{space 2} .2787373{col 40}{space 1}    0.95{col 49}{space 3}0.347{col 57}{space 4}-.2964078{col 70}{space 3} .8264037
{txt}{space 10}1717  {c |}{col 17}{res}{space 2} -.441496{col 29}{space 2} .5263058{col 40}{space 1}   -0.84{col 49}{space 3}0.406{col 57}{space 4} -1.50153{col 70}{space 3} .6185383
{txt}{space 10}1718  {c |}{col 17}{res}{space 2} .3884035{col 29}{space 2} .3009035{col 40}{space 1}    1.29{col 49}{space 3}0.203{col 57}{space 4}-.2176472{col 70}{space 3} .9944542
{txt}{space 10}1719  {c |}{col 17}{res}{space 2} .0433896{col 29}{space 2} .2791817{col 40}{space 1}    0.16{col 49}{space 3}0.877{col 57}{space 4}-.5189111{col 70}{space 3} .6056904
{txt}{space 10}1720  {c |}{col 17}{res}{space 2}-.2150802{col 29}{space 2} .2596763{col 40}{space 1}   -0.83{col 49}{space 3}0.412{col 57}{space 4} -.738095{col 70}{space 3} .3079346
{txt}{space 10}1728  {c |}{col 17}{res}{space 2}-.0869099{col 29}{space 2} .3436874{col 40}{space 1}   -0.25{col 49}{space 3}0.802{col 57}{space 4}-.7791318{col 70}{space 3}  .605312
{txt}{space 10}1731  {c |}{col 17}{res}{space 2}-.6327586{col 29}{space 2}  .285551{col 40}{space 1}   -2.22{col 49}{space 3}0.032{col 57}{space 4}-1.207888{col 70}{space 3}-.0576294
{txt}{space 10}1732  {c |}{col 17}{res}{space 2}-.2466771{col 29}{space 2} .2921832{col 40}{space 1}   -0.84{col 49}{space 3}0.403{col 57}{space 4}-.8351643{col 70}{space 3}   .34181
{txt}{space 10}1734  {c |}{col 17}{res}{space 2}-.1389661{col 29}{space 2} .2847923{col 40}{space 1}   -0.49{col 49}{space 3}0.628{col 57}{space 4}-.7125671{col 70}{space 3}  .434635
{txt}{space 10}1735  {c |}{col 17}{res}{space 2} .2177504{col 29}{space 2} .3045832{col 40}{space 1}    0.71{col 49}{space 3}0.478{col 57}{space 4}-.3957116{col 70}{space 3} .8312124
{txt}{space 10}1736  {c |}{col 17}{res}{space 2}-.0791564{col 29}{space 2} .8986467{col 40}{space 1}   -0.09{col 49}{space 3}0.930{col 57}{space 4}-1.889124{col 70}{space 3} 1.730811
{txt}{space 10}1737  {c |}{col 17}{res}{space 2} .2032878{col 29}{space 2} .3374355{col 40}{space 1}    0.60{col 49}{space 3}0.550{col 57}{space 4}-.4763423{col 70}{space 3} .8829178
{txt}{space 10}1738  {c |}{col 17}{res}{space 2} .7805049{col 29}{space 2} .2846693{col 40}{space 1}    2.74{col 49}{space 3}0.009{col 57}{space 4} .2071514{col 70}{space 3} 1.353858
{txt}{space 10}1739  {c |}{col 17}{res}{space 2} .7734267{col 29}{space 2} .2115747{col 40}{space 1}    3.66{col 49}{space 3}0.001{col 57}{space 4} .3472934{col 70}{space 3}  1.19956
{txt}{space 10}1740  {c |}{col 17}{res}{space 2} .0882285{col 29}{space 2} .4187842{col 40}{space 1}    0.21{col 49}{space 3}0.834{col 57}{space 4}-.7552461{col 70}{space 3} .9317031
{txt}{space 10}1741  {c |}{col 17}{res}{space 2}  .359224{col 29}{space 2} .3917629{col 40}{space 1}    0.92{col 49}{space 3}0.364{col 57}{space 4} -.429827{col 70}{space 3} 1.148275
{txt}{space 10}1742  {c |}{col 17}{res}{space 2} .4159759{col 29}{space 2} .3752778{col 40}{space 1}    1.11{col 49}{space 3}0.274{col 57}{space 4}-.3398725{col 70}{space 3} 1.171824
{txt}{space 10}1744  {c |}{col 17}{res}{space 2}-.0532956{col 29}{space 2} .2746706{col 40}{space 1}   -0.19{col 49}{space 3}0.847{col 57}{space 4}-.6065105{col 70}{space 3} .4999193
{txt}{space 10}1745  {c |}{col 17}{res}{space 2}-.2172144{col 29}{space 2} .2898387{col 40}{space 1}   -0.75{col 49}{space 3}0.457{col 57}{space 4}-.8009794{col 70}{space 3} .3665507
{txt}{space 10}1746  {c |}{col 17}{res}{space 2}-.2719547{col 29}{space 2} .3819117{col 40}{space 1}   -0.71{col 49}{space 3}0.480{col 57}{space 4}-1.041164{col 70}{space 3}  .497255
{txt}{space 10}1747  {c |}{col 17}{res}{space 2} .0008675{col 29}{space 2} .2725123{col 40}{space 1}    0.00{col 49}{space 3}0.997{col 57}{space 4}-.5480005{col 70}{space 3} .5497355
{txt}{space 10}1748  {c |}{col 17}{res}{space 2} .2014535{col 29}{space 2} .2899629{col 40}{space 1}    0.69{col 49}{space 3}0.491{col 57}{space 4}-.3825618{col 70}{space 3} .7854688
{txt}{space 10}1749  {c |}{col 17}{res}{space 2} .0566194{col 29}{space 2} .2705776{col 40}{space 1}    0.21{col 49}{space 3}0.835{col 57}{space 4}-.4883519{col 70}{space 3} .6015907
{txt}{space 10}1750  {c |}{col 17}{res}{space 2}-.0830727{col 29}{space 2} .3207226{col 40}{space 1}   -0.26{col 49}{space 3}0.797{col 57}{space 4}-.7290412{col 70}{space 3} .5628957
{txt}{space 10}1751  {c |}{col 17}{res}{space 2}  .286545{col 29}{space 2}  .301502{col 40}{space 1}    0.95{col 49}{space 3}0.347{col 57}{space 4}-.3207112{col 70}{space 3} .8938013
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-.0656871{col 29}{space 2} .2598443{col 40}{space 1}   -0.25{col 49}{space 3}0.802{col 57}{space 4}-.5890403{col 70}{space 3} .4576662
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. sum lgprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        301    .1435135    .4284629  -1.252763   1.203973
{txt}
{com}. local mean = r(mean);
{txt}
{com}. outreg2 using TableA9.tex, append pvalue bdec(3) tdec(3) nocons noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}{stata `"shellout using `"TableA9.tex"'"':TableA9.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA9.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. 
. **************************************************************
. ***TABLE A.10: OLS vs IV in post-1717 sample
. **************************************************************
. 
. *new members data
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtreg `var' chshsold distfuture i.year obyear1-obyear8 if year>=1717 & distfuture<=9, fe cluster(provcode);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. outreg2 using TableA10.tex, `replace' pvalue bdec(3) tdec(3) nocons  noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}  6{com}. local replace;
{txt}  7{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{p 0 6 2}note: _Iyear_1688 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1689 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1690 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1691 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1692 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1693 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1694 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1695 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1696 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1697 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1698 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1699 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1700 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1704 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1705 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1706 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1707 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1708 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1709 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1710 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1711 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1712 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1713 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1714 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1715 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1716 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1729 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1730 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1733 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1739 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1751 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear6 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear7 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear8 omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       149
{txt}Group variable: {res}provcode{txt}{col 49}Number of groups{col 67}={col 69}{res}        42

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.4720{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0009{col 63}{txt}avg{col 67}={col 69}{res}       3.5
{txt}     overall = {res}0.0004{col 63}{txt}max{col 67}={col 69}{res}         8

{col 49}{help j_robustsingular##|_new:F(27,41)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb){col 16}= {res}-0.9997{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. Err. adjusted for {res:42} clusters in provcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 164.9275{col 26}{space 2} 73.47513{col 37}{space 1}    2.24{col 46}{space 3}0.030{col 54}{space 4} 16.54143{col 67}{space 3} 313.3135
{txt}{space 2}distfuture {c |}{col 14}{res}{space 2} 567.8487{col 26}{space 2} 183.6815{col 37}{space 1}    3.09{col 46}{space 3}0.004{col 54}{space 4} 196.8963{col 67}{space 3} 938.8011
{txt}{space 1}_Iyear_1688 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1689 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1690 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1691 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1692 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1693 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1694 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1695 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1696 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1697 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1698 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1699 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1700 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1704 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1705 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1706 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1707 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1708 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1709 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1710 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1711 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1712 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1713 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1714 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1715 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1716 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1717 {c |}{col 14}{res}{space 2} -5214.35{col 26}{space 2} 2265.867{col 37}{space 1}   -2.30{col 46}{space 3}0.027{col 54}{space 4}-9790.362{col 67}{space 3}-638.3387
{txt}{space 1}_Iyear_1718 {c |}{col 14}{res}{space 2}-1455.492{col 26}{space 2} 2425.026{col 37}{space 1}   -0.60{col 46}{space 3}0.552{col 54}{space 4}-6352.932{col 67}{space 3} 3441.948
{txt}{space 1}_Iyear_1719 {c |}{col 14}{res}{space 2}-2483.623{col 26}{space 2} 2163.556{col 37}{space 1}   -1.15{col 46}{space 3}0.258{col 54}{space 4}-6853.014{col 67}{space 3} 1885.768
{txt}{space 1}_Iyear_1720 {c |}{col 14}{res}{space 2}-2431.702{col 26}{space 2} 2282.374{col 37}{space 1}   -1.07{col 46}{space 3}0.293{col 54}{space 4}-7041.051{col 67}{space 3} 2177.647
{txt}{space 1}_Iyear_1728 {c |}{col 14}{res}{space 2} 605.0407{col 26}{space 2} 2197.434{col 37}{space 1}    0.28{col 46}{space 3}0.784{col 54}{space 4}-3832.767{col 67}{space 3} 5042.849
{txt}{space 1}_Iyear_1729 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1730 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1731 {c |}{col 14}{res}{space 2}-1853.953{col 26}{space 2} 1886.197{col 37}{space 1}   -0.98{col 46}{space 3}0.331{col 54}{space 4}-5663.205{col 67}{space 3} 1955.299
{txt}{space 1}_Iyear_1732 {c |}{col 14}{res}{space 2}-2994.802{col 26}{space 2} 1841.672{col 37}{space 1}   -1.63{col 46}{space 3}0.112{col 54}{space 4}-6714.135{col 67}{space 3} 724.5303
{txt}{space 1}_Iyear_1733 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1734 {c |}{col 14}{res}{space 2} -2535.51{col 26}{space 2} 1719.205{col 37}{space 1}   -1.47{col 46}{space 3}0.148{col 54}{space 4}-6007.515{col 67}{space 3} 936.4945
{txt}{space 1}_Iyear_1735 {c |}{col 14}{res}{space 2}-3959.103{col 26}{space 2} 2110.344{col 37}{space 1}   -1.88{col 46}{space 3}0.068{col 54}{space 4}-8221.029{col 67}{space 3}  302.824
{txt}{space 1}_Iyear_1736 {c |}{col 14}{res}{space 2}-6193.771{col 26}{space 2} 4931.796{col 37}{space 1}   -1.26{col 46}{space 3}0.216{col 54}{space 4}-16153.73{col 67}{space 3} 3766.192
{txt}{space 1}_Iyear_1737 {c |}{col 14}{res}{space 2}-4481.213{col 26}{space 2} 2780.663{col 37}{space 1}   -1.61{col 46}{space 3}0.115{col 54}{space 4}-10096.88{col 67}{space 3}  1134.45
{txt}{space 1}_Iyear_1738 {c |}{col 14}{res}{space 2} 1282.413{col 26}{space 2} 1792.368{col 37}{space 1}    0.72{col 46}{space 3}0.478{col 54}{space 4}-2337.348{col 67}{space 3} 4902.174
{txt}{space 1}_Iyear_1739 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1740 {c |}{col 14}{res}{space 2}-2282.751{col 26}{space 2} 1695.886{col 37}{space 1}   -1.35{col 46}{space 3}0.186{col 54}{space 4}-5707.662{col 67}{space 3} 1142.159
{txt}{space 1}_Iyear_1741 {c |}{col 14}{res}{space 2}-785.3857{col 26}{space 2} 2404.869{col 37}{space 1}   -0.33{col 46}{space 3}0.746{col 54}{space 4}-5642.116{col 67}{space 3} 4071.345
{txt}{space 1}_Iyear_1742 {c |}{col 14}{res}{space 2}-1703.377{col 26}{space 2} 1779.742{col 37}{space 1}   -0.96{col 46}{space 3}0.344{col 54}{space 4}-5297.639{col 67}{space 3} 1890.886
{txt}{space 1}_Iyear_1744 {c |}{col 14}{res}{space 2}-3638.995{col 26}{space 2} 2330.034{col 37}{space 1}   -1.56{col 46}{space 3}0.126{col 54}{space 4}-8344.594{col 67}{space 3} 1066.604
{txt}{space 1}_Iyear_1745 {c |}{col 14}{res}{space 2}-9100.859{col 26}{space 2} 3014.585{col 37}{space 1}   -3.02{col 46}{space 3}0.004{col 54}{space 4}-15188.94{col 67}{space 3}-3012.781
{txt}{space 1}_Iyear_1746 {c |}{col 14}{res}{space 2}-7192.936{col 26}{space 2} 3556.632{col 37}{space 1}   -2.02{col 46}{space 3}0.050{col 54}{space 4} -14375.7{col 67}{space 3}-10.17239
{txt}{space 1}_Iyear_1747 {c |}{col 14}{res}{space 2}-3648.107{col 26}{space 2} 1699.155{col 37}{space 1}   -2.15{col 46}{space 3}0.038{col 54}{space 4} -7079.62{col 67}{space 3}-216.5938
{txt}{space 1}_Iyear_1748 {c |}{col 14}{res}{space 2}-78.04091{col 26}{space 2} 2041.792{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-4201.523{col 67}{space 3} 4045.441
{txt}{space 1}_Iyear_1749 {c |}{col 14}{res}{space 2}-3041.418{col 26}{space 2} 3653.687{col 37}{space 1}   -0.83{col 46}{space 3}0.410{col 54}{space 4}-10420.19{col 67}{space 3} 4337.352
{txt}{space 1}_Iyear_1750 {c |}{col 14}{res}{space 2}-4489.127{col 26}{space 2} 1961.036{col 37}{space 1}   -2.29{col 46}{space 3}0.027{col 54}{space 4} -8449.52{col 67}{space 3} -528.735
{txt}{space 1}_Iyear_1751 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear1 {c |}{col 14}{res}{space 2}-64.02661{col 26}{space 2} 79.86122{col 37}{space 1}   -0.80{col 46}{space 3}0.427{col 54}{space 4}-225.3096{col 67}{space 3} 97.25639
{txt}{space 5}obyear2 {c |}{col 14}{res}{space 2}-4.860278{col 26}{space 2} 81.37015{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-169.1906{col 67}{space 3} 159.4701
{txt}{space 5}obyear3 {c |}{col 14}{res}{space 2}-283.8487{col 26}{space 2}  73.9705{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-433.2351{col 67}{space 3}-134.4622
{txt}{space 5}obyear4 {c |}{col 14}{res}{space 2}  10.5948{col 26}{space 2} 82.25974{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-155.5321{col 67}{space 3} 176.7217
{txt}{space 5}obyear5 {c |}{col 14}{res}{space 2} 110.6288{col 26}{space 2} 69.32229{col 37}{space 1}    1.60{col 46}{space 3}0.118{col 54}{space 4}-29.37043{col 67}{space 3}  250.628
{txt}{space 5}obyear6 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear7 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear8 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-9338.347{col 26}{space 2} 56825.06{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-124098.9{col 67}{space 3} 105422.2
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 126554.96
     {txt}sigma_e {c |} {res} 3297.7785
         {txt}rho {c |} {res} .99932144{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        149    1566.949    3750.619  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA10.tex"'"':TableA10.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA10.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{p 0 6 2}note: _Iyear_1688 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1689 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1690 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1691 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1692 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1693 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1694 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1695 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1696 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1697 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1698 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1699 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1700 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1704 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1705 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1706 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1707 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1708 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1709 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1710 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1711 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1712 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1713 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1714 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1715 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1716 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1729 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1730 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1733 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1739 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1751 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear6 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear7 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear8 omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       149
{txt}Group variable: {res}provcode{txt}{col 49}Number of groups{col 67}={col 69}{res}        42

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.5205{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0316{col 63}{txt}avg{col 67}={col 69}{res}       3.5
{txt}     overall = {res}0.0012{col 63}{txt}max{col 67}={col 69}{res}         8

{col 49}{help j_robustsingular##|_new:F(27,41)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb){col 16}= {res}-0.9998{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. Err. adjusted for {res:42} clusters in provcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0176953{col 26}{space 2} .0083584{col 37}{space 1}    2.12{col 46}{space 3}0.040{col 54}{space 4} .0008152{col 67}{space 3} .0345754
{txt}{space 2}distfuture {c |}{col 14}{res}{space 2} .0607435{col 26}{space 2} .0264285{col 37}{space 1}    2.30{col 46}{space 3}0.027{col 54}{space 4} .0073702{col 67}{space 3} .1141169
{txt}{space 1}_Iyear_1688 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1689 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1690 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1691 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1692 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1693 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1694 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1695 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1696 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1697 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1698 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1699 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1700 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1704 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1705 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1706 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1707 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1708 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1709 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1710 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1711 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1712 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1713 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1714 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1715 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1716 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1717 {c |}{col 14}{res}{space 2}-.7711919{col 26}{space 2} .4681113{col 37}{space 1}   -1.65{col 46}{space 3}0.107{col 54}{space 4}-1.716562{col 67}{space 3}  .174178
{txt}{space 1}_Iyear_1718 {c |}{col 14}{res}{space 2} .6484333{col 26}{space 2}  .279966{col 37}{space 1}    2.32{col 46}{space 3}0.026{col 54}{space 4} .0830304{col 67}{space 3} 1.213836
{txt}{space 1}_Iyear_1719 {c |}{col 14}{res}{space 2} .2053194{col 26}{space 2} .2344648{col 37}{space 1}    0.88{col 46}{space 3}0.386{col 54}{space 4}-.2681919{col 67}{space 3} .6788307
{txt}{space 1}_Iyear_1720 {c |}{col 14}{res}{space 2}-.0347047{col 26}{space 2} .2230075{col 37}{space 1}   -0.16{col 46}{space 3}0.877{col 54}{space 4}-.4850775{col 67}{space 3} .4156681
{txt}{space 1}_Iyear_1728 {c |}{col 14}{res}{space 2} .7018793{col 26}{space 2} .3213259{col 37}{space 1}    2.18{col 46}{space 3}0.035{col 54}{space 4} .0529484{col 67}{space 3}  1.35081
{txt}{space 1}_Iyear_1729 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1730 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1731 {c |}{col 14}{res}{space 2}-.3547328{col 26}{space 2} .2171082{col 37}{space 1}   -1.63{col 46}{space 3}0.110{col 54}{space 4}-.7931917{col 67}{space 3} .0837262
{txt}{space 1}_Iyear_1732 {c |}{col 14}{res}{space 2}-.1754223{col 26}{space 2} .2387535{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-.6575947{col 67}{space 3} .3067501
{txt}{space 1}_Iyear_1733 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1734 {c |}{col 14}{res}{space 2} .0367195{col 26}{space 2} .2091698{col 37}{space 1}    0.18{col 46}{space 3}0.862{col 54}{space 4}-.3857075{col 67}{space 3} .4591464
{txt}{space 1}_Iyear_1735 {c |}{col 14}{res}{space 2} .0708013{col 26}{space 2} .2302465{col 37}{space 1}    0.31{col 46}{space 3}0.760{col 54}{space 4}-.3941909{col 67}{space 3} .5357935
{txt}{space 1}_Iyear_1736 {c |}{col 14}{res}{space 2}-.2822308{col 26}{space 2} .7514085{col 37}{space 1}   -0.38{col 46}{space 3}0.709{col 54}{space 4}-1.799731{col 67}{space 3} 1.235269
{txt}{space 1}_Iyear_1737 {c |}{col 14}{res}{space 2}-.1268795{col 26}{space 2} .2995353{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.7318032{col 67}{space 3} .4780443
{txt}{space 1}_Iyear_1738 {c |}{col 14}{res}{space 2} .6021298{col 26}{space 2} .1979602{col 37}{space 1}    3.04{col 46}{space 3}0.004{col 54}{space 4} .2023409{col 67}{space 3} 1.001919
{txt}{space 1}_Iyear_1739 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1740 {c |}{col 14}{res}{space 2}-.0630799{col 26}{space 2} .2827258{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.6340562{col 67}{space 3} .5078965
{txt}{space 1}_Iyear_1741 {c |}{col 14}{res}{space 2} .3194735{col 26}{space 2} .3949039{col 37}{space 1}    0.81{col 46}{space 3}0.423{col 54}{space 4} -.478051{col 67}{space 3} 1.116998
{txt}{space 1}_Iyear_1742 {c |}{col 14}{res}{space 2}  .289823{col 26}{space 2} .2805765{col 37}{space 1}    1.03{col 46}{space 3}0.308{col 54}{space 4}-.2768128{col 67}{space 3} .8564588
{txt}{space 1}_Iyear_1744 {c |}{col 14}{res}{space 2} .0672844{col 26}{space 2} .3059101{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.5505136{col 67}{space 3} .6850825
{txt}{space 1}_Iyear_1745 {c |}{col 14}{res}{space 2}-.6084371{col 26}{space 2} .2387465{col 37}{space 1}   -2.55{col 46}{space 3}0.015{col 54}{space 4}-1.090595{col 67}{space 3}-.1262788
{txt}{space 1}_Iyear_1746 {c |}{col 14}{res}{space 2}-.5896899{col 26}{space 2} .3820895{col 37}{space 1}   -1.54{col 46}{space 3}0.130{col 54}{space 4}-1.361335{col 67}{space 3} .1819556
{txt}{space 1}_Iyear_1747 {c |}{col 14}{res}{space 2}-.1860648{col 26}{space 2} .2180072{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.6263393{col 67}{space 3} .2542097
{txt}{space 1}_Iyear_1748 {c |}{col 14}{res}{space 2} .2112959{col 26}{space 2} .1735237{col 37}{space 1}    1.22{col 46}{space 3}0.230{col 54}{space 4}-.1391423{col 67}{space 3}  .561734
{txt}{space 1}_Iyear_1749 {c |}{col 14}{res}{space 2}-.0379465{col 26}{space 2} .2577141{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-.5584106{col 67}{space 3} .4825177
{txt}{space 1}_Iyear_1750 {c |}{col 14}{res}{space 2}-.1519633{col 26}{space 2} .2126244{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.5813671{col 67}{space 3} .2774405
{txt}{space 1}_Iyear_1751 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear1 {c |}{col 14}{res}{space 2}-.0067286{col 26}{space 2} .0101818{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.0272912{col 67}{space 3}  .013834
{txt}{space 5}obyear2 {c |}{col 14}{res}{space 2}-.0057117{col 26}{space 2}  .006495{col 37}{space 1}   -0.88{col 46}{space 3}0.384{col 54}{space 4}-.0188285{col 67}{space 3} .0074052
{txt}{space 5}obyear3 {c |}{col 14}{res}{space 2}-.0324012{col 26}{space 2} .0091983{col 37}{space 1}   -3.52{col 46}{space 3}0.001{col 54}{space 4}-.0509776{col 67}{space 3}-.0138247
{txt}{space 5}obyear4 {c |}{col 14}{res}{space 2} .0123763{col 26}{space 2} .0099271{col 37}{space 1}    1.25{col 46}{space 3}0.220{col 54}{space 4}-.0076719{col 67}{space 3} .0324245
{txt}{space 5}obyear5 {c |}{col 14}{res}{space 2} .0209191{col 26}{space 2} .0075992{col 37}{space 1}    2.75{col 46}{space 3}0.009{col 54}{space 4} .0055721{col 67}{space 3} .0362661
{txt}{space 5}obyear6 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear7 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear8 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-5.016845{col 26}{space 2} 6.561402{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-18.26787{col 67}{space 3} 8.234176
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 20.718443
     {txt}sigma_e {c |} {res} .38429701
         {txt}rho {c |} {res} .99965607{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        149    .2077658      .45169  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA10.tex"'"':TableA10.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA10.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtreg `var' chshspain distfuture i.year obyear1-obyear8 if year>=1717 & distfuture<=9, fe cluster(provcode);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. outreg2 using TableA10.tex, append pvalue bdec(3) tdec(3) nocons  noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}  6{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{p 0 6 2}note: _Iyear_1688 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1689 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1690 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1691 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1692 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1693 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1694 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1695 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1696 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1697 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1698 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1699 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1700 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1704 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1705 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1706 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1707 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1708 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1709 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1710 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1711 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1712 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1713 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1714 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1715 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1716 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1729 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1730 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1733 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1739 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1751 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear6 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear7 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear8 omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       149
{txt}Group variable: {res}provcode{txt}{col 49}Number of groups{col 67}={col 69}{res}        42

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.4752{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0010{col 63}{txt}avg{col 67}={col 69}{res}       3.5
{txt}     overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}         8

{col 49}{help j_robustsingular##|_new:F(27,41)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb){col 16}= {res}-0.9997{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. Err. adjusted for {res:42} clusters in provcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-177.5274{col 26}{space 2} 65.93328{col 37}{space 1}   -2.69{col 46}{space 3}0.010{col 54}{space 4}-310.6824{col 67}{space 3}-44.37243
{txt}{space 2}distfuture {c |}{col 14}{res}{space 2} 416.6195{col 26}{space 2} 190.2241{col 37}{space 1}    2.19{col 46}{space 3}0.034{col 54}{space 4} 32.45424{col 67}{space 3} 800.7849
{txt}{space 1}_Iyear_1688 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1689 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1690 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1691 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1692 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1693 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1694 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1695 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1696 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1697 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1698 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1699 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1700 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1704 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1705 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1706 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1707 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1708 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1709 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1710 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1711 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1712 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1713 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1714 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1715 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1716 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1717 {c |}{col 14}{res}{space 2}-3581.278{col 26}{space 2} 2337.915{col 37}{space 1}   -1.53{col 46}{space 3}0.133{col 54}{space 4}-8302.793{col 67}{space 3} 1140.237
{txt}{space 1}_Iyear_1718 {c |}{col 14}{res}{space 2} 1098.212{col 26}{space 2}  2667.58{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-4289.075{col 67}{space 3} 6485.498
{txt}{space 1}_Iyear_1719 {c |}{col 14}{res}{space 2}-101.6386{col 26}{space 2} 2423.583{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-4996.164{col 67}{space 3} 4792.886
{txt}{space 1}_Iyear_1720 {c |}{col 14}{res}{space 2}-751.6665{col 26}{space 2} 2225.469{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-5246.091{col 67}{space 3} 3742.758
{txt}{space 1}_Iyear_1728 {c |}{col 14}{res}{space 2} 4339.167{col 26}{space 2} 2894.465{col 37}{space 1}    1.50{col 46}{space 3}0.142{col 54}{space 4}-1506.323{col 67}{space 3} 10184.66
{txt}{space 1}_Iyear_1729 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1730 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1731 {c |}{col 14}{res}{space 2}-1020.644{col 26}{space 2} 1860.692{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}-4778.389{col 67}{space 3}   2737.1
{txt}{space 1}_Iyear_1732 {c |}{col 14}{res}{space 2}-2276.341{col 26}{space 2} 1953.628{col 37}{space 1}   -1.17{col 46}{space 3}0.251{col 54}{space 4}-6221.773{col 67}{space 3}  1669.09
{txt}{space 1}_Iyear_1733 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1734 {c |}{col 14}{res}{space 2}-1380.184{col 26}{space 2} 1862.518{col 37}{space 1}   -0.74{col 46}{space 3}0.463{col 54}{space 4}-5141.617{col 67}{space 3} 2381.248
{txt}{space 1}_Iyear_1735 {c |}{col 14}{res}{space 2}-2351.823{col 26}{space 2} 1971.121{col 37}{space 1}   -1.19{col 46}{space 3}0.240{col 54}{space 4}-6332.583{col 67}{space 3} 1628.937
{txt}{space 1}_Iyear_1736 {c |}{col 14}{res}{space 2}-4830.994{col 26}{space 2} 4669.138{col 37}{space 1}   -1.03{col 46}{space 3}0.307{col 54}{space 4}-14260.51{col 67}{space 3} 4598.521
{txt}{space 1}_Iyear_1737 {c |}{col 14}{res}{space 2}-3134.222{col 26}{space 2} 2515.488{col 37}{space 1}   -1.25{col 46}{space 3}0.220{col 54}{space 4}-8214.353{col 67}{space 3} 1945.908
{txt}{space 1}_Iyear_1738 {c |}{col 14}{res}{space 2}  1234.47{col 26}{space 2} 1980.114{col 37}{space 1}    0.62{col 46}{space 3}0.536{col 54}{space 4} -2764.45{col 67}{space 3} 5233.391
{txt}{space 1}_Iyear_1739 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1740 {c |}{col 14}{res}{space 2}-1550.837{col 26}{space 2} 1602.611{col 37}{space 1}   -0.97{col 46}{space 3}0.339{col 54}{space 4}-4787.377{col 67}{space 3} 1685.702
{txt}{space 1}_Iyear_1741 {c |}{col 14}{res}{space 2}  354.945{col 26}{space 2} 2431.204{col 37}{space 1}    0.15{col 46}{space 3}0.885{col 54}{space 4}-4554.972{col 67}{space 3} 5264.862
{txt}{space 1}_Iyear_1742 {c |}{col 14}{res}{space 2} -442.443{col 26}{space 2} 1955.755{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4}-4392.171{col 67}{space 3} 3507.285
{txt}{space 1}_Iyear_1744 {c |}{col 14}{res}{space 2}-2214.315{col 26}{space 2} 2461.973{col 37}{space 1}   -0.90{col 46}{space 3}0.374{col 54}{space 4}-7186.371{col 67}{space 3} 2757.741
{txt}{space 1}_Iyear_1745 {c |}{col 14}{res}{space 2}-7543.242{col 26}{space 2} 2537.344{col 37}{space 1}   -2.97{col 46}{space 3}0.005{col 54}{space 4}-12667.51{col 67}{space 3}-2418.971
{txt}{space 1}_Iyear_1746 {c |}{col 14}{res}{space 2}-5712.508{col 26}{space 2} 3127.074{col 37}{space 1}   -1.83{col 46}{space 3}0.075{col 54}{space 4}-12027.76{col 67}{space 3} 602.7455
{txt}{space 1}_Iyear_1747 {c |}{col 14}{res}{space 2}-2135.821{col 26}{space 2} 1617.285{col 37}{space 1}   -1.32{col 46}{space 3}0.194{col 54}{space 4}-5401.995{col 67}{space 3} 1130.353
{txt}{space 1}_Iyear_1748 {c |}{col 14}{res}{space 2} 245.2026{col 26}{space 2} 2082.105{col 37}{space 1}    0.12{col 46}{space 3}0.907{col 54}{space 4}-3959.693{col 67}{space 3} 4450.098
{txt}{space 1}_Iyear_1749 {c |}{col 14}{res}{space 2}-2625.777{col 26}{space 2} 3733.815{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4}-10166.37{col 67}{space 3} 4914.816
{txt}{space 1}_Iyear_1750 {c |}{col 14}{res}{space 2}-3620.291{col 26}{space 2} 1896.059{col 37}{space 1}   -1.91{col 46}{space 3}0.063{col 54}{space 4}-7449.459{col 67}{space 3}  208.877
{txt}{space 1}_Iyear_1751 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear1 {c |}{col 14}{res}{space 2}-64.37098{col 26}{space 2} 80.79514{col 37}{space 1}   -0.80{col 46}{space 3}0.430{col 54}{space 4}-227.5401{col 67}{space 3} 98.79811
{txt}{space 5}obyear2 {c |}{col 14}{res}{space 2}  -17.082{col 26}{space 2} 75.13553{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-168.8213{col 67}{space 3} 134.6573
{txt}{space 5}obyear3 {c |}{col 14}{res}{space 2}-236.0283{col 26}{space 2} 76.63907{col 37}{space 1}   -3.08{col 46}{space 3}0.004{col 54}{space 4}-390.8041{col 67}{space 3}-81.25256
{txt}{space 5}obyear4 {c |}{col 14}{res}{space 2} 26.41523{col 26}{space 2}  87.7928{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4}-150.8859{col 67}{space 3} 203.7164
{txt}{space 5}obyear5 {c |}{col 14}{res}{space 2} 119.1451{col 26}{space 2} 74.42529{col 37}{space 1}    1.60{col 46}{space 3}0.117{col 54}{space 4}-31.15978{col 67}{space 3} 269.4501
{txt}{space 5}obyear6 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear7 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear8 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-14173.79{col 26}{space 2} 58026.19{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-131360.1{col 67}{space 3} 103012.5
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  125286.9
     {txt}sigma_e {c |} {res} 3287.8611
         {txt}rho {c |} {res}  .9993118{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        149    1566.949    3750.619  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA10.tex"'"':TableA10.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA10.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{p 0 6 2}note: _Iyear_1688 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1689 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1690 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1691 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1692 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1693 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1694 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1695 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1696 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1697 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1698 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1699 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1700 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1704 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1705 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1706 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1707 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1708 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1709 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1710 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1711 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1712 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1713 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1714 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1715 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1716 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1729 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1730 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1733 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1739 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1751 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear6 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear7 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear8 omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       149
{txt}Group variable: {res}provcode{txt}{col 49}Number of groups{col 67}={col 69}{res}        42

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.5244{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0218{col 63}{txt}avg{col 67}={col 69}{res}       3.5
{txt}     overall = {res}0.0005{col 63}{txt}max{col 67}={col 69}{res}         8

{col 49}{help j_robustsingular##|_new:F(27,41)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb){col 16}= {res}-0.9998{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. Err. adjusted for {res:42} clusters in provcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2} -.019332{col 26}{space 2} .0083047{col 37}{space 1}   -2.33{col 46}{space 3}0.025{col 54}{space 4}-.0361037{col 67}{space 3}-.0025604
{txt}{space 2}distfuture {c |}{col 14}{res}{space 2} .0439803{col 26}{space 2} .0314899{col 37}{space 1}    1.40{col 46}{space 3}0.170{col 54}{space 4}-.0196148{col 67}{space 3} .1075754
{txt}{space 1}_Iyear_1688 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1689 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1690 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1691 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1692 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1693 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1694 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1695 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1696 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1697 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1698 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1699 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1700 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1704 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1705 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1706 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1707 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1708 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1709 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1710 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1711 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1712 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1713 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1714 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1715 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1716 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1717 {c |}{col 14}{res}{space 2}-.5910139{col 26}{space 2} .5004787{col 37}{space 1}   -1.18{col 46}{space 3}0.244{col 54}{space 4}-1.601751{col 67}{space 3} .4197233
{txt}{space 1}_Iyear_1718 {c |}{col 14}{res}{space 2}  .932883{col 26}{space 2} .3263876{col 37}{space 1}    2.86{col 46}{space 3}0.007{col 54}{space 4} .2737298{col 67}{space 3} 1.592036
{txt}{space 1}_Iyear_1719 {c |}{col 14}{res}{space 2} .4698884{col 26}{space 2} .3110415{col 37}{space 1}    1.51{col 46}{space 3}0.139{col 54}{space 4}-.1582727{col 67}{space 3} 1.098049
{txt}{space 1}_Iyear_1720 {c |}{col 14}{res}{space 2} .1521162{col 26}{space 2} .2637571{col 37}{space 1}    0.58{col 46}{space 3}0.567{col 54}{space 4}-.3805521{col 67}{space 3} .6847846
{txt}{space 1}_Iyear_1728 {c |}{col 14}{res}{space 2} 1.117284{col 26}{space 2} .4638651{col 37}{space 1}    2.41{col 46}{space 3}0.021{col 54}{space 4} .1804895{col 67}{space 3} 2.054079
{txt}{space 1}_Iyear_1729 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1730 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1731 {c |}{col 14}{res}{space 2}-.2592843{col 26}{space 2} .2414633{col 37}{space 1}   -1.07{col 46}{space 3}0.289{col 54}{space 4}-.7469293{col 67}{space 3} .2283607
{txt}{space 1}_Iyear_1732 {c |}{col 14}{res}{space 2}-.0919956{col 26}{space 2} .2695751{col 37}{space 1}   -0.34{col 46}{space 3}0.735{col 54}{space 4}-.6364136{col 67}{space 3} .4524224
{txt}{space 1}_Iyear_1733 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1734 {c |}{col 14}{res}{space 2}  .165868{col 26}{space 2} .2446674{col 37}{space 1}    0.68{col 46}{space 3}0.502{col 54}{space 4}-.3282478{col 67}{space 3} .6599838
{txt}{space 1}_Iyear_1735 {c |}{col 14}{res}{space 2} .2455409{col 26}{space 2} .2235378{col 37}{space 1}    1.10{col 46}{space 3}0.278{col 54}{space 4}-.2059028{col 67}{space 3} .6969846
{txt}{space 1}_Iyear_1736 {c |}{col 14}{res}{space 2}-.1343954{col 26}{space 2} .7441182{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}-1.637173{col 67}{space 3} 1.368382
{txt}{space 1}_Iyear_1737 {c |}{col 14}{res}{space 2} .0174084{col 26}{space 2} .2803031{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.5486752{col 67}{space 3} .5834919
{txt}{space 1}_Iyear_1738 {c |}{col 14}{res}{space 2} .5973221{col 26}{space 2} .2269081{col 37}{space 1}    2.63{col 46}{space 3}0.012{col 54}{space 4}  .139072{col 67}{space 3} 1.055572
{txt}{space 1}_Iyear_1739 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1740 {c |}{col 14}{res}{space 2} .0200489{col 26}{space 2} .2753631{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4}-.5360583{col 67}{space 3}  .576156
{txt}{space 1}_Iyear_1741 {c |}{col 14}{res}{space 2}  .446007{col 26}{space 2} .3999403{col 37}{space 1}    1.12{col 46}{space 3}0.271{col 54}{space 4}-.3616888{col 67}{space 3} 1.253703
{txt}{space 1}_Iyear_1742 {c |}{col 14}{res}{space 2} .4308722{col 26}{space 2} .3219352{col 37}{space 1}    1.34{col 46}{space 3}0.188{col 54}{space 4}-.2192893{col 67}{space 3} 1.081034
{txt}{space 1}_Iyear_1744 {c |}{col 14}{res}{space 2} .2249732{col 26}{space 2}  .343322{col 37}{space 1}    0.66{col 46}{space 3}0.516{col 54}{space 4}-.4683795{col 67}{space 3}  .918326
{txt}{space 1}_Iyear_1745 {c |}{col 14}{res}{space 2}-.4424673{col 26}{space 2} .1934762{col 37}{space 1}   -2.29{col 46}{space 3}0.027{col 54}{space 4}-.8332003{col 67}{space 3}-.0517343
{txt}{space 1}_Iyear_1746 {c |}{col 14}{res}{space 2}-.4323245{col 26}{space 2} .3533733{col 37}{space 1}   -1.22{col 46}{space 3}0.228{col 54}{space 4}-1.145976{col 67}{space 3} .2813275
{txt}{space 1}_Iyear_1747 {c |}{col 14}{res}{space 2}-.0243544{col 26}{space 2} .2024904{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}-.4332921{col 67}{space 3} .3845833
{txt}{space 1}_Iyear_1748 {c |}{col 14}{res}{space 2} .2471094{col 26}{space 2} .1893913{col 37}{space 1}    1.30{col 46}{space 3}0.199{col 54}{space 4}-.1353741{col 67}{space 3}  .629593
{txt}{space 1}_Iyear_1749 {c |}{col 14}{res}{space 2} .0070922{col 26}{space 2} .2768578{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.5520335{col 67}{space 3} .5662179
{txt}{space 1}_Iyear_1750 {c |}{col 14}{res}{space 2}-.0562583{col 26}{space 2} .2232448{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-.5071103{col 67}{space 3} .3945937
{txt}{space 1}_Iyear_1751 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear1 {c |}{col 14}{res}{space 2}-.0068032{col 26}{space 2}  .010169{col 37}{space 1}   -0.67{col 46}{space 3}0.507{col 54}{space 4}-.0273399{col 67}{space 3} .0137334
{txt}{space 5}obyear2 {c |}{col 14}{res}{space 2}-.0070651{col 26}{space 2} .0061753{col 37}{space 1}   -1.14{col 46}{space 3}0.259{col 54}{space 4}-.0195364{col 67}{space 3} .0054061
{txt}{space 5}obyear3 {c |}{col 14}{res}{space 2}-.0272315{col 26}{space 2} .0091399{col 37}{space 1}   -2.98{col 46}{space 3}0.005{col 54}{space 4}-.0456899{col 67}{space 3} -.008773
{txt}{space 5}obyear4 {c |}{col 14}{res}{space 2} .0141703{col 26}{space 2} .0105456{col 37}{space 1}    1.34{col 46}{space 3}0.186{col 54}{space 4}-.0071271{col 67}{space 3} .0354676
{txt}{space 5}obyear5 {c |}{col 14}{res}{space 2} .0218913{col 26}{space 2} .0081938{col 37}{space 1}    2.67{col 46}{space 3}0.011{col 54}{space 4} .0053435{col 67}{space 3} .0384391
{txt}{space 5}obyear6 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear7 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear8 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-5.554031{col 26}{space 2} 6.752674{col 37}{space 1}   -0.82{col 46}{space 3}0.416{col 54}{space 4}-19.19133{col 67}{space 3} 8.083272
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  21.27763
     {txt}sigma_e {c |} {res}  .3827266
         {txt}rho {c |} {res} .99967656{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        149    .2077658      .45169  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA10.tex"'"':TableA10.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA10.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtreg `var' chshspain distfuture i.year obyear1-obyear8 if year>=1717 & distfuture<=9, fe cluster(provcode);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. outreg2 using TableA10.tex, append pvalue bdec(3) tdec(3) nocons  noni
> adds("Provinces", e(N_clust), "Mean DV", `mean');
{txt}  6{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{p 0 6 2}note: _Iyear_1688 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1689 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1690 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1691 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1692 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1693 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1694 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1695 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1696 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1697 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1698 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1699 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1700 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1704 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1705 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1706 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1707 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1708 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1709 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1710 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1711 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1712 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1713 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1714 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1715 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1716 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1729 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1730 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1733 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1739 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1751 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear6 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear7 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear8 omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       149
{txt}Group variable: {res}provcode{txt}{col 49}Number of groups{col 67}={col 69}{res}        42

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.4452{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0002{col 63}{txt}avg{col 67}={col 69}{res}       3.5
{txt}     overall = {res}0.0010{col 63}{txt}max{col 67}={col 69}{res}         8

{col 49}{help j_robustsingular##|_new:F(27,41)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb){col 16}= {res}-0.9996{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. Err. adjusted for {res:42} clusters in provcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2} -206.329{col 26}{space 2} 97.78444{col 37}{space 1}   -2.11{col 46}{space 3}0.041{col 54}{space 4}-403.8087{col 67}{space 3}-8.849297
{txt}{space 2}distfuture {c |}{col 14}{res}{space 2}  499.523{col 26}{space 2} 206.4445{col 37}{space 1}    2.42{col 46}{space 3}0.020{col 54}{space 4} 82.59981{col 67}{space 3} 916.4461
{txt}{space 1}_Iyear_1688 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1689 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1690 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1691 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1692 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1693 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1694 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1695 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1696 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1697 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1698 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1699 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1700 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1704 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1705 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1706 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1707 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1708 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1709 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1710 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1711 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1712 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1713 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1714 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1715 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1716 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1717 {c |}{col 14}{res}{space 2}-2800.166{col 26}{space 2} 2649.553{col 37}{space 1}   -1.06{col 46}{space 3}0.297{col 54}{space 4}-8151.046{col 67}{space 3} 2550.715
{txt}{space 1}_Iyear_1718 {c |}{col 14}{res}{space 2}-452.3693{col 26}{space 2}  2538.69{col 37}{space 1}   -0.18{col 46}{space 3}0.859{col 54}{space 4}-5579.358{col 67}{space 3} 4674.619
{txt}{space 1}_Iyear_1719 {c |}{col 14}{res}{space 2} -816.219{col 26}{space 2} 2477.372{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-5819.373{col 67}{space 3} 4186.935
{txt}{space 1}_Iyear_1720 {c |}{col 14}{res}{space 2} 3461.964{col 26}{space 2} 4132.318{col 37}{space 1}    0.84{col 46}{space 3}0.407{col 54}{space 4}-4883.422{col 67}{space 3} 11807.35
{txt}{space 1}_Iyear_1728 {c |}{col 14}{res}{space 2} 4114.524{col 26}{space 2} 3718.973{col 37}{space 1}    1.11{col 46}{space 3}0.275{col 54}{space 4}-3396.093{col 67}{space 3} 11625.14
{txt}{space 1}_Iyear_1729 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1730 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1731 {c |}{col 14}{res}{space 2} 385.0456{col 26}{space 2} 2419.138{col 37}{space 1}    0.16{col 46}{space 3}0.874{col 54}{space 4}-4500.503{col 67}{space 3} 5270.594
{txt}{space 1}_Iyear_1732 {c |}{col 14}{res}{space 2}-735.4064{col 26}{space 2} 2705.321{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-6198.912{col 67}{space 3} 4728.099
{txt}{space 1}_Iyear_1733 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1734 {c |}{col 14}{res}{space 2} 41.28729{col 26}{space 2} 2225.135{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-4452.464{col 67}{space 3} 4535.039
{txt}{space 1}_Iyear_1735 {c |}{col 14}{res}{space 2}-1385.648{col 26}{space 2} 1621.554{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-4660.443{col 67}{space 3} 1889.147
{txt}{space 1}_Iyear_1736 {c |}{col 14}{res}{space 2} -2495.51{col 26}{space 2} 4279.478{col 37}{space 1}   -0.58{col 46}{space 3}0.563{col 54}{space 4}-11138.09{col 67}{space 3} 6147.072
{txt}{space 1}_Iyear_1737 {c |}{col 14}{res}{space 2}-274.2486{col 26}{space 2} 1589.571{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4}-3484.452{col 67}{space 3} 2935.954
{txt}{space 1}_Iyear_1738 {c |}{col 14}{res}{space 2} 4439.336{col 26}{space 2} 1648.397{col 37}{space 1}    2.69{col 46}{space 3}0.010{col 54}{space 4} 1110.329{col 67}{space 3} 7768.342
{txt}{space 1}_Iyear_1739 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1740 {c |}{col 14}{res}{space 2} -2338.13{col 26}{space 2} 1999.937{col 37}{space 1}   -1.17{col 46}{space 3}0.249{col 54}{space 4}-6377.084{col 67}{space 3} 1700.824
{txt}{space 1}_Iyear_1741 {c |}{col 14}{res}{space 2} 1360.019{col 26}{space 2}  2983.14{col 37}{space 1}    0.46{col 46}{space 3}0.651{col 54}{space 4}-4664.555{col 67}{space 3} 7384.593
{txt}{space 1}_Iyear_1742 {c |}{col 14}{res}{space 2}-1172.582{col 26}{space 2} 1941.434{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-5093.387{col 67}{space 3} 2748.223
{txt}{space 1}_Iyear_1744 {c |}{col 14}{res}{space 2}-1192.214{col 26}{space 2} 2806.177{col 37}{space 1}   -0.42{col 46}{space 3}0.673{col 54}{space 4}-6859.403{col 67}{space 3} 4474.976
{txt}{space 1}_Iyear_1745 {c |}{col 14}{res}{space 2} -7269.08{col 26}{space 2} 2422.598{col 37}{space 1}   -3.00{col 46}{space 3}0.005{col 54}{space 4}-12161.61{col 67}{space 3}-2376.545
{txt}{space 1}_Iyear_1746 {c |}{col 14}{res}{space 2}-5110.809{col 26}{space 2} 2384.919{col 37}{space 1}   -2.14{col 46}{space 3}0.038{col 54}{space 4}-9927.251{col 67}{space 3}-294.3671
{txt}{space 1}_Iyear_1747 {c |}{col 14}{res}{space 2}-528.9008{col 26}{space 2} 1970.414{col 37}{space 1}   -0.27{col 46}{space 3}0.790{col 54}{space 4}-4508.233{col 67}{space 3} 3450.431
{txt}{space 1}_Iyear_1748 {c |}{col 14}{res}{space 2} 2443.469{col 26}{space 2} 2212.214{col 37}{space 1}    1.10{col 46}{space 3}0.276{col 54}{space 4}-2024.189{col 67}{space 3} 6911.126
{txt}{space 1}_Iyear_1749 {c |}{col 14}{res}{space 2} 59.33104{col 26}{space 2} 2508.039{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-5005.756{col 67}{space 3} 5124.418
{txt}{space 1}_Iyear_1750 {c |}{col 14}{res}{space 2}-4004.065{col 26}{space 2} 1748.499{col 37}{space 1}   -2.29{col 46}{space 3}0.027{col 54}{space 4}-7535.232{col 67}{space 3}-472.8992
{txt}{space 1}_Iyear_1751 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear1 {c |}{col 14}{res}{space 2}-52.46371{col 26}{space 2} 71.16251{col 37}{space 1}   -0.74{col 46}{space 3}0.465{col 54}{space 4}-196.1793{col 67}{space 3}  91.2519
{txt}{space 5}obyear2 {c |}{col 14}{res}{space 2} 12.30334{col 26}{space 2} 89.53779{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-168.5219{col 67}{space 3} 193.1286
{txt}{space 5}obyear3 {c |}{col 14}{res}{space 2}-264.2743{col 26}{space 2} 67.07798{col 37}{space 1}   -3.94{col 46}{space 3}0.000{col 54}{space 4}-399.7411{col 67}{space 3}-128.8076
{txt}{space 5}obyear4 {c |}{col 14}{res}{space 2} 39.05191{col 26}{space 2} 71.03712{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-104.4105{col 67}{space 3} 182.5143
{txt}{space 5}obyear5 {c |}{col 14}{res}{space 2} 106.6431{col 26}{space 2} 69.28885{col 37}{space 1}    1.54{col 46}{space 3}0.131{col 54}{space 4}-33.28854{col 67}{space 3} 246.5748
{txt}{space 5}obyear6 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear7 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear8 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} -23559.4{col 26}{space 2} 48993.94{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-122504.7{col 67}{space 3} 75385.88
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 118406.62
     {txt}sigma_e {c |} {res}  3380.261
         {txt}rho {c |} {res} .99918568{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        149    1566.949    3750.619  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA10.tex"'"':TableA10.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA10.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{p 0 6 2}note: _Iyear_1688 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1689 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1690 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1691 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1692 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1693 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1694 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1695 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1696 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1697 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1698 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1699 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1700 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1704 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1705 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1706 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1707 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1708 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1709 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1710 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1711 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1712 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1713 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1714 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1715 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1716 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1729 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1730 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1733 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1739 omitted because of collinearity{p_end}
{p 0 6 2}note: _Iyear_1751 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear6 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear7 omitted because of collinearity{p_end}
{p 0 6 2}note: obyear8 omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       149
{txt}Group variable: {res}provcode{txt}{col 49}Number of groups{col 67}={col 69}{res}        42

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.5063{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0298{col 63}{txt}avg{col 67}={col 69}{res}       3.5
{txt}     overall = {res}0.0011{col 63}{txt}max{col 67}={col 69}{res}         8

{col 49}{help j_robustsingular##|_new:F(27,41)}{col 67}{txt}={col 70}{res}        .
{txt}corr(u_i, Xb){col 16}= {res}-0.9998{txt}{col 49}Prob > F{col 67}={col 73}{res}     .

{txt}{ralign 78:(Std. Err. adjusted for {res:42} clusters in provcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0247509{col 26}{space 2}  .011201{col 37}{space 1}   -2.21{col 46}{space 3}0.033{col 54}{space 4}-.0473717{col 67}{space 3}  -.00213
{txt}{space 2}distfuture {c |}{col 14}{res}{space 2} .0502191{col 26}{space 2} .0274015{col 37}{space 1}    1.83{col 46}{space 3}0.074{col 54}{space 4}-.0051192{col 67}{space 3} .1055575
{txt}{space 1}_Iyear_1688 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1689 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1690 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1691 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1692 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1693 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1694 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1695 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1696 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1697 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1698 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1699 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1700 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1704 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1705 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1706 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1707 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1708 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1709 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1710 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1711 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1712 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1713 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1714 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1715 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1716 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1717 {c |}{col 14}{res}{space 2}-.4630964{col 26}{space 2} .4136823{col 37}{space 1}   -1.12{col 46}{space 3}0.269{col 54}{space 4}-1.298545{col 67}{space 3}  .372352
{txt}{space 1}_Iyear_1718 {c |}{col 14}{res}{space 2} .8189838{col 26}{space 2} .2460653{col 37}{space 1}    3.33{col 46}{space 3}0.002{col 54}{space 4} .3220448{col 67}{space 3} 1.315923
{txt}{space 1}_Iyear_1719 {c |}{col 14}{res}{space 2}  .446231{col 26}{space 2} .2785151{col 37}{space 1}    1.60{col 46}{space 3}0.117{col 54}{space 4}-.1162416{col 67}{space 3} 1.008704
{txt}{space 1}_Iyear_1720 {c |}{col 14}{res}{space 2} .7028522{col 26}{space 2} .4525048{col 37}{space 1}    1.55{col 46}{space 3}0.128{col 54}{space 4}-.2109998{col 67}{space 3} 1.616704
{txt}{space 1}_Iyear_1728 {c |}{col 14}{res}{space 2} 1.192127{col 26}{space 2} .4967781{col 37}{space 1}    2.40{col 46}{space 3}0.021{col 54}{space 4} .1888631{col 67}{space 3} 2.195391
{txt}{space 1}_Iyear_1729 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1730 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1731 {c |}{col 14}{res}{space 2} -.049009{col 26}{space 2} .2836434{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4}-.6218386{col 67}{space 3} .5238205
{txt}{space 1}_Iyear_1732 {c |}{col 14}{res}{space 2}  .136575{col 26}{space 2} .3344943{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-.5389499{col 67}{space 3} .8120999
{txt}{space 1}_Iyear_1733 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1734 {c |}{col 14}{res}{space 2}  .372179{col 26}{space 2} .2616846{col 37}{space 1}    1.42{col 46}{space 3}0.163{col 54}{space 4}-.1563037{col 67}{space 3} .9006617
{txt}{space 1}_Iyear_1735 {c |}{col 14}{res}{space 2} .3772434{col 26}{space 2} .1790228{col 37}{space 1}    2.11{col 46}{space 3}0.041{col 54}{space 4} .0156994{col 67}{space 3} .7387873
{txt}{space 1}_Iyear_1736 {c |}{col 14}{res}{space 2} .1569403{col 26}{space 2} .6919016{col 37}{space 1}    0.23{col 46}{space 3}0.822{col 54}{space 4}-1.240383{col 67}{space 3} 1.554264
{txt}{space 1}_Iyear_1737 {c |}{col 14}{res}{space 2} .3588802{col 26}{space 2} .1853587{col 37}{space 1}    1.94{col 46}{space 3}0.060{col 54}{space 4}-.0154593{col 67}{space 3} .7332197
{txt}{space 1}_Iyear_1738 {c |}{col 14}{res}{space 2} .9840903{col 26}{space 2} .1893808{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .6016279{col 67}{space 3} 1.366553
{txt}{space 1}_Iyear_1739 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}_Iyear_1740 {c |}{col 14}{res}{space 2}-.0426764{col 26}{space 2} .3510605{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.7516575{col 67}{space 3} .6663047
{txt}{space 1}_Iyear_1741 {c |}{col 14}{res}{space 2}   .59543{col 26}{space 2} .4578532{col 37}{space 1}    1.30{col 46}{space 3}0.201{col 54}{space 4}-.3292234{col 67}{space 3} 1.520083
{txt}{space 1}_Iyear_1742 {c |}{col 14}{res}{space 2} .3830077{col 26}{space 2} .3088346{col 37}{space 1}    1.24{col 46}{space 3}0.222{col 54}{space 4}-.2406964{col 67}{space 3} 1.006712
{txt}{space 1}_Iyear_1744 {c |}{col 14}{res}{space 2} .3808997{col 26}{space 2} .3822295{col 37}{space 1}    1.00{col 46}{space 3}0.325{col 54}{space 4}-.3910285{col 67}{space 3} 1.152828
{txt}{space 1}_Iyear_1745 {c |}{col 14}{res}{space 2}-.4175032{col 26}{space 2} .1675299{col 37}{space 1}   -2.49{col 46}{space 3}0.017{col 54}{space 4}-.7558367{col 67}{space 3}-.0791698
{txt}{space 1}_Iyear_1746 {c |}{col 14}{res}{space 2}-.3702944{col 26}{space 2} .2808077{col 37}{space 1}   -1.32{col 46}{space 3}0.195{col 54}{space 4}-.9373969{col 67}{space 3} .1968082
{txt}{space 1}_Iyear_1747 {c |}{col 14}{res}{space 2} .1646509{col 26}{space 2} .1513329{col 37}{space 1}    1.09{col 46}{space 3}0.283{col 54}{space 4} -.140972{col 67}{space 3} .4702738
{txt}{space 1}_Iyear_1748 {c |}{col 14}{res}{space 2} .5186155{col 26}{space 2} .1784586{col 37}{space 1}    2.91{col 46}{space 3}0.006{col 54}{space 4} .1582109{col 67}{space 3}   .87902
{txt}{space 1}_Iyear_1749 {c |}{col 14}{res}{space 2} .3322534{col 26}{space 2} .1967036{col 37}{space 1}    1.69{col 46}{space 3}0.099{col 54}{space 4}-.0649977{col 67}{space 3} .7295044
{txt}{space 1}_Iyear_1750 {c |}{col 14}{res}{space 2}-.0851548{col 26}{space 2} .1835221{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-.4557852{col 67}{space 3} .2854755
{txt}{space 1}_Iyear_1751 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear1 {c |}{col 14}{res}{space 2}-.0056345{col 26}{space 2} .0101712{col 37}{space 1}   -0.55{col 46}{space 3}0.583{col 54}{space 4}-.0261757{col 67}{space 3} .0149068
{txt}{space 5}obyear2 {c |}{col 14}{res}{space 2}-.0038311{col 26}{space 2} .0069195{col 37}{space 1}   -0.55{col 46}{space 3}0.583{col 54}{space 4}-.0178053{col 67}{space 3} .0101432
{txt}{space 5}obyear3 {c |}{col 14}{res}{space 2} -.030351{col 26}{space 2} .0079354{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.0463769{col 67}{space 3}-.0143252
{txt}{space 5}obyear4 {c |}{col 14}{res}{space 2} .0163519{col 26}{space 2} .0073797{col 37}{space 1}    2.22{col 46}{space 3}0.032{col 54}{space 4} .0014483{col 67}{space 3} .0312555
{txt}{space 5}obyear5 {c |}{col 14}{res}{space 2} .0207947{col 26}{space 2} .0076884{col 37}{space 1}    2.70{col 46}{space 3}0.010{col 54}{space 4} .0052677{col 67}{space 3} .0363217
{txt}{space 5}obyear6 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear7 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 5}obyear8 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-6.806647{col 26}{space 2} 5.699034{col 37}{space 1}   -1.19{col 46}{space 3}0.239{col 54}{space 4}-18.31608{col 67}{space 3} 4.702786
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  20.52024
     {txt}sigma_e {c |} {res} .38992553
         {txt}rho {c |} {res} .99963905{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        149    .2077658      .45169  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA10.tex"'"':TableA10.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA10.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. ***********************************************************************
. ***TABLE A.11: Audiencia deaths and office prices: Different IV Samples
. ***********************************************************************
. 
. *new members data
. 
. use newmembersdata, clear
{txt}
{com}. 
. *PANEL A
. 
. #delimit ;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach x in 4 9 16{c -(};
{txt}  2{com}. xi: xtivreg2 difprice (chshsold = totspanishdeath)  obyear1-obyear8 i.year 
> distfuture if distfuture<=`x', fe cluster(provcode) first 
> partial(obyear* distfuture _I*);
{txt}  3{com}. sum difprice if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA11A.tex, `replace' dec(1) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  3 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 21}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 16}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     199
{txt}Number of clusters (provcode) = {col 33}{res}    43
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 87.45916{col 29}{space 2} 17.94882{col 40}{space 1}    4.87{col 49}{space 3}0.000{col 57}{space 4} 51.88882{col 70}{space 3} 123.0295
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    42) = {res}   23.74
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    42) = {res}   23.74
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    42{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    42{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   23.74{col 28}  0.0000{col 37}{txt}|{col 42}{res}   31.46{col 51}  0.0000{col 60}{txt}|{col 65}{res}   23.74

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}5.23   {col 61}{txt}P-val={res}0.0222

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    5.71
Kleibergen-Paap Wald rk F statistic{col 65}   23.74

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}42{txt})={col 49}{res}   3.91{col 61}{txt}P-val={res}0.0546
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.18{col 61}{txt}P-val={res}0.0229
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.42{col 61}{txt}P-val={res}0.0356

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        43
{txt}Number of observations               N  = {res}       199
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    43{txt}{col 55}Number of obs = {res}     199
{txt}{col 55}F(  1,    42) = {res}    3.00
{txt}{col 55}Prob > F      = {res}  0.0907
{txt}Total (centered) SS     = {res} 697144159.5{txt}{col 55}Centered R2   = {res} -1.0096
{txt}Total (uncentered) SS   = {res} 697144159.5{txt}{col 55}Uncentered R2 = {res} -1.0096
{txt}Residual SS             = {res}  1401013261{txt}{col 55}Root MSE      = {res}    2997

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 465.3918{col 26}{space 2} 233.5095{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} 7.721641{col 67}{space 3}  923.062
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.230
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0222
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   5.710
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.743
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1739 _Iyear_1744 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        202    481.0086    2777.041  -14719.95   11355.07
{txt}{stata `"shellout using `"TableA11A.tex"'"':TableA11A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.3336{col 29}{space 2} 13.59328{col 40}{space 1}   10.77{col 49}{space 3}0.000{col 57}{space 4}  119.529{col 70}{space 3} 173.1381
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  115.89{col 28}  0.0000{col 37}{txt}|{col 42}{res}  144.47{col 51}  0.0000{col 60}{txt}|{col 65}{res}  115.89

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.31  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   68.67
Kleibergen-Paap Wald rk F statistic{col 65}  115.89

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.07{col 61}{txt}P-val={res}0.0293
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.32{col 61}{txt}P-val={res}0.0119
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.13{col 61}{txt}P-val={res}0.0420

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    5.19
{txt}{col 55}Prob > F      = {res}  0.0276
{txt}Total (centered) SS     = {res}  1344355223{txt}{col 55}Centered R2   = {res} -0.0509
{txt}Total (uncentered) SS   = {res}  1344355223{txt}{col 55}Uncentered R2 = {res} -0.0509
{txt}Residual SS             = {res}  1412721391{txt}{col 55}Root MSE      = {res}    2354

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 152.1453{col 26}{space 2} 59.83287{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} 34.87503{col 67}{space 3} 269.4156
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.313
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  68.666
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 115.888
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA11A.tex"'"':TableA11A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     360
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 7.287445{col 29}{space 2} 20.69935{col 40}{space 1}    0.35{col 49}{space 3}0.725{col 57}{space 4}  -33.476{col 70}{space 3}  48.0509
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    0.12
{txt}  Prob > F      = {res}  0.7264
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    0.12
{txt}  Prob > F      = {res}  0.7264



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}    0.12{col 28}  0.7264{col 37}{txt}|{col 42}{res}    0.15{col 51}  0.6975{col 60}{txt}|{col 65}{res}    0.12

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}0.15   {col 61}{txt}P-val={res}0.6940

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    0.26
Kleibergen-Paap Wald rk F statistic{col 65}    0.12

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   7.25{col 61}{txt}P-val={res}0.0099
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   8.84{col 61}{txt}P-val={res}0.0030
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.50{col 61}{txt}P-val={res}0.0108

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       360
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        58
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     360
{txt}{col 55}F(  1,    45) = {res}    0.14
{txt}{col 55}Prob > F      = {res}  0.7144
{txt}Total (centered) SS     = {res}  2099344425{txt}{col 55}Centered R2   = {res}-62.7339
{txt}Total (uncentered) SS   = {res}  2099344425{txt}{col 55}Uncentered R2 = {res}-62.7339
{txt}Residual SS             = {res} 1.33799e+11{txt}{col 55}Root MSE      = {res}   20642

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 2306.037{col 26}{space 2} 5670.911{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-8808.744{col 67}{space 3} 13420.82
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   0.155
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.6940
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   0.257
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   0.124
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        360    1078.816    3220.619  -14719.95   23810.56
{txt}{stata `"shellout using `"TableA11A.tex"'"':TableA11A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit ;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach x in 4 9 16{c -(};
{txt}  2{com}. xi: xtivreg2 difprice (chshspain = totspanishdeath)  obyear1-obyear8 i.year 
> distfuture if distfuture<=`x', fe cluster(provcode) first 
> partial(obyear* distfuture _I*);
{txt}  3{com}. sum difprice if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA11A.tex, `replace' dec(1) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  3 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 21}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 16}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     199
{txt}Number of clusters (provcode) = {col 33}{res}    43
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-83.56573{col 29}{space 2} 18.78484{col 40}{space 1}   -4.45{col 49}{space 3}0.000{col 57}{space 4}-120.7929{col 70}{space 3}-46.33859
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    42) = {res}   19.79
{txt}  Prob > F      = {res}  0.0001
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    42) = {res}   19.79
{txt}  Prob > F      = {res}  0.0001



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    42{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    42{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   19.79{col 28}  0.0001{col 37}{txt}|{col 42}{res}   26.22{col 51}  0.0000{col 60}{txt}|{col 65}{res}   19.79

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}5.14   {col 61}{txt}P-val={res}0.0233

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    5.34
Kleibergen-Paap Wald rk F statistic{col 65}   19.79

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}42{txt})={col 49}{res}   3.91{col 61}{txt}P-val={res}0.0546
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.18{col 61}{txt}P-val={res}0.0229
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.42{col 61}{txt}P-val={res}0.0356

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        43
{txt}Number of observations               N  = {res}       199
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    43{txt}{col 55}Number of obs = {res}     199
{txt}{col 55}F(  1,    42) = {res}    2.93
{txt}{col 55}Prob > F      = {res}  0.0941
{txt}Total (centered) SS     = {res} 697144159.5{txt}{col 55}Centered R2   = {res} -1.0235
{txt}Total (uncentered) SS   = {res} 697144159.5{txt}{col 55}Uncentered R2 = {res} -1.0235
{txt}Residual SS             = {res}  1410691519{txt}{col 55}Root MSE      = {res}    3007

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2} -487.075{col 26}{space 2} 247.0523{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-971.2886{col 67}{space 3}-2.861378
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.144
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0233
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   5.336
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.790
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1739 _Iyear_1744 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        202    481.0086    2777.041  -14719.95   11355.07
{txt}{stata `"shellout using `"TableA11A.tex"'"':TableA11A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}  -146.11{col 29}{space 2} 13.54315{col 40}{space 1}  -10.79{col 49}{space 3}0.000{col 57}{space 4}-172.8156{col 70}{space 3}-119.4043
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  116.39
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  116.39
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}  116.39{col 28}  0.0000{col 37}{txt}|{col 42}{res}  145.09{col 51}  0.0000{col 60}{txt}|{col 65}{res}  116.39

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.57  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   65.45
Kleibergen-Paap Wald rk F statistic{col 65}  116.39

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.07{col 61}{txt}P-val={res}0.0293
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.32{col 61}{txt}P-val={res}0.0119
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.13{col 61}{txt}P-val={res}0.0420

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    5.33
{txt}{col 55}Prob > F      = {res}  0.0256
{txt}Total (centered) SS     = {res}  1344355223{txt}{col 55}Centered R2   = {res} -0.0316
{txt}Total (uncentered) SS   = {res}  1344355223{txt}{col 55}Uncentered R2 = {res} -0.0316
{txt}Residual SS             = {res}  1386836572{txt}{col 55}Root MSE      = {res}    2332

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-152.3781{col 26}{space 2} 59.11002{col 37}{space 1}   -2.58{col 46}{space 3}0.010{col 54}{space 4}-268.2316{col 67}{space 3}-36.52462
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.566
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.447
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 116.391
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA11A.tex"'"':TableA11A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     360
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-5.093434{col 29}{space 2} 22.24549{col 40}{space 1}   -0.23{col 49}{space 3}0.819{col 57}{space 4}-48.90172{col 70}{space 3} 38.71485
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    0.05
{txt}  Prob > F      = {res}  0.8199
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    0.05
{txt}  Prob > F      = {res}  0.8199



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    0.05{col 28}  0.8199{col 37}{txt}|{col 42}{res}    0.06{col 51}  0.8004{col 60}{txt}|{col 65}{res}    0.05

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}0.07   {col 61}{txt}P-val={res}0.7983

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    0.11
Kleibergen-Paap Wald rk F statistic{col 65}    0.05

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   7.25{col 61}{txt}P-val={res}0.0099
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   8.84{col 61}{txt}P-val={res}0.0030
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.50{col 61}{txt}P-val={res}0.0108

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       360
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        58
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     360
{txt}{col 55}F(  1,    45) = {res}    0.06
{txt}{col 55}Prob > F      = {res}  0.8147
{txt}Total (centered) SS     = {res}  2099344425{txt}{col 55}Centered R2   = {res}-1.4e+02
{txt}Total (uncentered) SS   = {res}  2099344425{txt}{col 55}Uncentered R2 = {res}-1.4e+02
{txt}Residual SS             = {res} 3.01659e+11{txt}{col 55}Root MSE      = {res}   30995

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2} -3299.37{col 26}{space 2} 12676.68{col 37}{space 1}   -0.26{col 46}{space 3}0.795{col 54}{space 4} -28145.2{col 67}{space 3} 21546.46
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   0.065
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.7983
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   0.114
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   0.052
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        360    1078.816    3220.619  -14719.95   23810.56
{txt}{stata `"shellout using `"TableA11A.tex"'"':TableA11A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *PANEL B
. 
. #delimit ;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach x in 4 9 16{c -(};
{txt}  2{com}. xi: xtivreg2 lgprice (chshsold = totspanishdeath) obyear1-obyear8 i.year distfuture 
> if distfuture<=`x', fe cluster(provcode) first partial(obyear* distfuture _I*);
{txt}  3{com}. sum difprice if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA11B.tex, `replace' dec(3) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  3 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 21}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 16}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     199
{txt}Number of clusters (provcode) = {col 33}{res}    43
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 87.45916{col 29}{space 2} 17.94882{col 40}{space 1}    4.87{col 49}{space 3}0.000{col 57}{space 4} 51.88882{col 70}{space 3} 123.0295
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    42) = {res}   23.74
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    42) = {res}   23.74
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    42{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    42{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   23.74{col 28}  0.0000{col 37}{txt}|{col 42}{res}   31.46{col 51}  0.0000{col 60}{txt}|{col 65}{res}   23.74

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}5.23   {col 61}{txt}P-val={res}0.0222

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    5.71
Kleibergen-Paap Wald rk F statistic{col 65}   23.74

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}42{txt})={col 49}{res}   2.53{col 61}{txt}P-val={res}0.1189
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.36{col 61}{txt}P-val={res}0.0669
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.22{col 61}{txt}P-val={res}0.1358

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        43
{txt}Number of observations               N  = {res}       199
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    43{txt}{col 55}Number of obs = {res}     199
{txt}{col 55}F(  1,    42) = {res}    2.20
{txt}{col 55}Prob > F      = {res}  0.1451
{txt}Total (centered) SS     = {res} 14.96094458{txt}{col 55}Centered R2   = {res} -0.2126
{txt}Total (uncentered) SS   = {res} 14.96094458{txt}{col 55}Uncentered R2 = {res} -0.2126
{txt}Residual SS             = {res} 18.14090467{txt}{col 55}Root MSE      = {res}    .341

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2}  .032664{col 26}{space 2}  .019114{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}-.0047986{col 67}{space 3} .0701267
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.230
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0222
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   5.710
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.743
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1739 _Iyear_1744 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        202    481.0086    2777.041  -14719.95   11355.07
{txt}{stata `"shellout using `"TableA11B.tex"'"':TableA11B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.3336{col 29}{space 2} 13.59328{col 40}{space 1}   10.77{col 49}{space 3}0.000{col 57}{space 4}  119.529{col 70}{space 3} 173.1381
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  115.89{col 28}  0.0000{col 37}{txt}|{col 42}{res}  144.47{col 51}  0.0000{col 60}{txt}|{col 65}{res}  115.89

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.31  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   68.67
Kleibergen-Paap Wald rk F statistic{col 65}  115.89

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   9.42{col 61}{txt}P-val={res}0.0036
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.74{col 61}{txt}P-val={res}0.0006
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.84{col 61}{txt}P-val={res}0.0157

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    8.94
{txt}{col 55}Prob > F      = {res}  0.0045
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.0115
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.0115
{txt}Residual SS             = {res} 28.50149153{txt}{col 55}Root MSE      = {res}   .3343

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0166382{col 26}{space 2} .0049836{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .0068705{col 67}{space 3}  .026406
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.313
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  68.666
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 115.888
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA11B.tex"'"':TableA11B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     360
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 7.287445{col 29}{space 2} 20.69935{col 40}{space 1}    0.35{col 49}{space 3}0.725{col 57}{space 4}  -33.476{col 70}{space 3}  48.0509
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    0.12
{txt}  Prob > F      = {res}  0.7264
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    0.12
{txt}  Prob > F      = {res}  0.7264



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}    0.12{col 28}  0.7264{col 37}{txt}|{col 42}{res}    0.15{col 51}  0.6975{col 60}{txt}|{col 65}{res}    0.12

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}0.15   {col 61}{txt}P-val={res}0.6940

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    0.26
Kleibergen-Paap Wald rk F statistic{col 65}    0.12

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}  12.34{col 61}{txt}P-val={res}0.0010
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  15.05{col 61}{txt}P-val={res}0.0001
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   9.82{col 61}{txt}P-val={res}0.0017

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       360
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        58
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     360
{txt}{col 55}F(  1,    45) = {res}    0.13
{txt}{col 55}Prob > F      = {res}  0.7207
{txt}Total (centered) SS     = {res} 47.70521611{txt}{col 55}Centered R2   = {res}-62.2226
{txt}Total (uncentered) SS   = {res} 47.70521611{txt}{col 55}Uncentered R2 = {res}-62.2226
{txt}Residual SS             = {res} 3016.050098{txt}{col 55}Root MSE      = {res}   3.099

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .3438686{col 26}{space 2} .8656571{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-1.352788{col 67}{space 3} 2.040525
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   0.155
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.6940
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   0.257
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   0.124
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        360    1078.816    3220.619  -14719.95   23810.56
{txt}{stata `"shellout using `"TableA11B.tex"'"':TableA11B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit ;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach x in 4 9 16{c -(};
{txt}  2{com}. xi: xtivreg2 lgprice (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture 
> if distfuture<=`x', fe cluster(provcode) first partial(obyear* distfuture _I*);
{txt}  3{com}. sum difprice if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA11B.tex, `replace' dec(3) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  3 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 21}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1728 _Iyear_1729
{col 16}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1744 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       43{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.6
{txt}{col 64}max{col 68}={col 70}{res}       12

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     199
{txt}Number of clusters (provcode) = {col 33}{res}    43
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-83.56573{col 29}{space 2} 18.78484{col 40}{space 1}   -4.45{col 49}{space 3}0.000{col 57}{space 4}-120.7929{col 70}{space 3}-46.33859
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    42) = {res}   19.79
{txt}  Prob > F      = {res}  0.0001
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    42) = {res}   19.79
{txt}  Prob > F      = {res}  0.0001



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    42{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    42{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   19.79{col 28}  0.0001{col 37}{txt}|{col 42}{res}   26.22{col 51}  0.0000{col 60}{txt}|{col 65}{res}   19.79

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}5.14   {col 61}{txt}P-val={res}0.0233

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    5.34
Kleibergen-Paap Wald rk F statistic{col 65}   19.79

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}42{txt})={col 49}{res}   2.53{col 61}{txt}P-val={res}0.1189
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.36{col 61}{txt}P-val={res}0.0669
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.22{col 61}{txt}P-val={res}0.1358

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        43
{txt}Number of observations               N  = {res}       199
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    43{txt}{col 55}Number of obs = {res}     199
{txt}{col 55}F(  1,    42) = {res}    2.06
{txt}{col 55}Prob > F      = {res}  0.1582
{txt}Total (centered) SS     = {res} 14.96094458{txt}{col 55}Centered R2   = {res} -0.2293
{txt}Total (uncentered) SS   = {res} 14.96094458{txt}{col 55}Uncentered R2 = {res} -0.2293
{txt}Residual SS             = {res} 18.39210795{txt}{col 55}Root MSE      = {res}   .3434

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0341859{col 26}{space 2} .0206712{col 37}{space 1}   -1.65{col 46}{space 3}0.098{col 54}{space 4}-.0747008{col 67}{space 3}  .006329
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.144
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0233
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   5.336
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  19.790
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1699 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1739 _Iyear_1744 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        202    481.0086    2777.041  -14719.95   11355.07
{txt}{stata `"shellout using `"TableA11B.tex"'"':TableA11B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}  -146.11{col 29}{space 2} 13.54315{col 40}{space 1}  -10.79{col 49}{space 3}0.000{col 57}{space 4}-172.8156{col 70}{space 3}-119.4043
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  116.39
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  116.39
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}  116.39{col 28}  0.0000{col 37}{txt}|{col 42}{res}  145.09{col 51}  0.0000{col 60}{txt}|{col 65}{res}  116.39

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.57  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   65.45
Kleibergen-Paap Wald rk F statistic{col 65}  116.39

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   9.42{col 61}{txt}P-val={res}0.0036
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.74{col 61}{txt}P-val={res}0.0006
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.84{col 61}{txt}P-val={res}0.0157

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    8.95
{txt}{col 55}Prob > F      = {res}  0.0045
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.0020
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.0020
{txt}Residual SS             = {res} 28.23352851{txt}{col 55}Root MSE      = {res}   .3327

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0166637{col 26}{space 2} .0049884{col 37}{space 1}   -3.34{col 46}{space 3}0.001{col 54}{space 4}-.0264408{col 67}{space 3}-.0068865
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.566
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.447
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 116.391
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA11B.tex"'"':TableA11B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      7.8
{txt}{col 64}max{col 68}={col 70}{res}       14

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     360
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-5.093434{col 29}{space 2} 22.24549{col 40}{space 1}   -0.23{col 49}{space 3}0.819{col 57}{space 4}-48.90172{col 70}{space 3} 38.71485
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    0.05
{txt}  Prob > F      = {res}  0.8199
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    0.05
{txt}  Prob > F      = {res}  0.8199



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    0.05{col 28}  0.8199{col 37}{txt}|{col 42}{res}    0.06{col 51}  0.8004{col 60}{txt}|{col 65}{res}    0.05

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}0.07   {col 61}{txt}P-val={res}0.7983

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    0.11
Kleibergen-Paap Wald rk F statistic{col 65}    0.05

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}  12.34{col 61}{txt}P-val={res}0.0010
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  15.05{col 61}{txt}P-val={res}0.0001
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   9.82{col 61}{txt}P-val={res}0.0017

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       360
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        58
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     360
{txt}{col 55}F(  1,    45) = {res}    0.05
{txt}{col 55}Prob > F      = {res}  0.8173
{txt}Total (centered) SS     = {res} 47.70521611{txt}{col 55}Centered R2   = {res}-1.4e+02
{txt}Total (uncentered) SS   = {res} 47.70521611{txt}{col 55}Uncentered R2 = {res}-1.4e+02
{txt}Residual SS             = {res} 6775.744623{txt}{col 55}Root MSE      = {res}   4.645

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2} -.491991{col 26}{space 2} 1.917926{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-4.251057{col 67}{space 3} 3.267075
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   0.065
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.7983
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   0.114
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   0.052
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        360    1078.816    3220.619  -14719.95   23810.56
{txt}{stata `"shellout using `"TableA11B.tex"'"':TableA11B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA11B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. ***************************************************************
. ***TABLE A.12: CLUSTERING STANDARD ERRORS AT THE LEVEL OF YEAR
. ***************************************************************
. 
. *New members data
. 
. use newmembersdata, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: ivreg2 `var' (chshsold = totspanishdeath) obyear1-obyear8 i.year i.provcode distfuture if distfuture<=9, cluster(year)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  tableA12.tex, `replace' dec(3) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on year
Number of obs = {col 31}{res}     301
{txt}Number of clusters (year) = {col 33}{res}    49
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.3336{col 29}{space 2} 26.16169{col 40}{space 1}    5.59{col 49}{space 3}0.000{col 57}{space 4} 94.74385{col 70}{space 3} 197.9233
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    48) = {res}   31.29
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    48) = {res}   31.29
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    48{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    48{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   31.29{col 28}  0.0000{col 37}{txt}|{col 42}{res}   48.15{col 51}  0.0000{col 60}{txt}|{col 65}{res}   31.29

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}11.28  {col 61}{txt}P-val={res}0.0008

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   68.32
Kleibergen-Paap Wald rk F statistic{col 65}   31.29

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}48{txt})={col 49}{res}  10.95{col 61}{txt}P-val={res}0.0018
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  16.85{col 61}{txt}P-val={res}0.0000
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.53{col 61}{txt}P-val={res}0.0187

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        49
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}       101
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on year

Number of clusters (year) = {col 33}{res}    49{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    48) = {res}    8.56
{txt}{col 55}Prob > F      = {res}  0.0052
{txt}Total (centered) SS     = {res}  1344355223{txt}{col 55}Centered R2   = {res} -0.0509
{txt}Total (uncentered) SS   = {res}  1344355223{txt}{col 55}Uncentered R2 = {res} -0.0509
{txt}Residual SS             = {res}  1412721391{txt}{col 55}Root MSE      = {res}    2166

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 152.1453{col 26}{space 2} 41.90963{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} 70.00392{col 67}{space 3} 234.2867
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.284
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0008
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  68.323
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.286
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iprovcode_2 _Iprovcode_3 _Iprovcode_4 _Iprovcode_5
{col 23}_Iprovcode_6 _Iprovcode_7 _Iprovcode_8 _Iprovcode_9
{col 23}_Iprovcode_10 _Iprovcode_11 _Iprovcode_12 _Iprovcode_13
{col 23}_Iprovcode_14 _Iprovcode_15 _Iprovcode_16 _Iprovcode_17
{col 23}_Iprovcode_18 _Iprovcode_19 _Iprovcode_20 _Iprovcode_21
{col 23}_Iprovcode_22 _Iprovcode_23 _Iprovcode_24 _Iprovcode_26
{col 23}_Iprovcode_27 _Iprovcode_28 _Iprovcode_29 _Iprovcode_30
{col 23}_Iprovcode_31 _Iprovcode_32 _Iprovcode_33 _Iprovcode_34
{col 23}_Iprovcode_35 _Iprovcode_36 _Iprovcode_37 _Iprovcode_38
{col 23}_Iprovcode_39 _Iprovcode_40 _Iprovcode_41 _Iprovcode_42
{col 23}_Iprovcode_43 _Iprovcode_44 _Iprovcode_45 _Iprovcode_46
{col 23}_Iprovcode_47 _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"tableA12.tex"'"':tableA12.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "tableA12.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on year
Number of obs = {col 31}{res}     301
{txt}Number of clusters (year) = {col 33}{res}    49
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.3336{col 29}{space 2} 26.16169{col 40}{space 1}    5.59{col 49}{space 3}0.000{col 57}{space 4} 94.74385{col 70}{space 3} 197.9233
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    48) = {res}   31.29
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    48) = {res}   31.29
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    48{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    48{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   31.29{col 28}  0.0000{col 37}{txt}|{col 42}{res}   48.15{col 51}  0.0000{col 60}{txt}|{col 65}{res}   31.29

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}11.28  {col 61}{txt}P-val={res}0.0008

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   68.32
Kleibergen-Paap Wald rk F statistic{col 65}   31.29

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}48{txt})={col 49}{res}   7.73{col 61}{txt}P-val={res}0.0077
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.90{col 61}{txt}P-val={res}0.0006
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.09{col 61}{txt}P-val={res}0.0241

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        49
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}       101
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on year

Number of clusters (year) = {col 33}{res}    49{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    48) = {res}    8.02
{txt}{col 55}Prob > F      = {res}  0.0067
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.0115
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.0115
{txt}Residual SS             = {res} 28.50149153{txt}{col 55}Root MSE      = {res}   .3077

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0166382{col 26}{space 2} .0047351{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} .0073576{col 67}{space 3} .0259188
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.284
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0008
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  68.323
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.286
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iprovcode_2 _Iprovcode_3 _Iprovcode_4 _Iprovcode_5
{col 23}_Iprovcode_6 _Iprovcode_7 _Iprovcode_8 _Iprovcode_9
{col 23}_Iprovcode_10 _Iprovcode_11 _Iprovcode_12 _Iprovcode_13
{col 23}_Iprovcode_14 _Iprovcode_15 _Iprovcode_16 _Iprovcode_17
{col 23}_Iprovcode_18 _Iprovcode_19 _Iprovcode_20 _Iprovcode_21
{col 23}_Iprovcode_22 _Iprovcode_23 _Iprovcode_24 _Iprovcode_26
{col 23}_Iprovcode_27 _Iprovcode_28 _Iprovcode_29 _Iprovcode_30
{col 23}_Iprovcode_31 _Iprovcode_32 _Iprovcode_33 _Iprovcode_34
{col 23}_Iprovcode_35 _Iprovcode_36 _Iprovcode_37 _Iprovcode_38
{col 23}_Iprovcode_39 _Iprovcode_40 _Iprovcode_41 _Iprovcode_42
{col 23}_Iprovcode_43 _Iprovcode_44 _Iprovcode_45 _Iprovcode_46
{col 23}_Iprovcode_47 _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        301    .1435135    .4284629  -1.252763   1.203973
{txt}{stata `"shellout using `"tableA12.tex"'"':tableA12.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "tableA12.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: ivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year i.provcode distfuture if distfuture<=9, cluster(year)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  tableA12.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on year
Number of obs = {col 31}{res}     301
{txt}Number of clusters (year) = {col 33}{res}    49
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}  -146.11{col 29}{space 2} 26.11736{col 40}{space 1}   -5.59{col 49}{space 3}0.000{col 57}{space 4}-197.6123{col 70}{space 3}-94.60765
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    48) = {res}   31.30
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    48) = {res}   31.30
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    48{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    48{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   31.30{col 28}  0.0000{col 37}{txt}|{col 42}{res}   48.16{col 51}  0.0000{col 60}{txt}|{col 65}{res}   31.30

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}11.51  {col 61}{txt}P-val={res}0.0007

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   65.12
Kleibergen-Paap Wald rk F statistic{col 65}   31.30

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}48{txt})={col 49}{res}  10.95{col 61}{txt}P-val={res}0.0018
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  16.85{col 61}{txt}P-val={res}0.0000
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.53{col 61}{txt}P-val={res}0.0187

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        49
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}       101
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on year

Number of clusters (year) = {col 33}{res}    49{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    48) = {res}    8.22
{txt}{col 55}Prob > F      = {res}  0.0061
{txt}Total (centered) SS     = {res}  1344355223{txt}{col 55}Centered R2   = {res} -0.0316
{txt}Total (uncentered) SS   = {res}  1344355223{txt}{col 55}Uncentered R2 = {res} -0.0316
{txt}Residual SS             = {res}  1386836572{txt}{col 55}Root MSE      = {res}    2146

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-152.3781{col 26}{space 2} 42.83141{col 37}{space 1}   -3.56{col 46}{space 3}0.000{col 54}{space 4}-236.3261{col 67}{space 3}-68.43011
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.509
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0007
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.120
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.297
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iprovcode_2 _Iprovcode_3 _Iprovcode_4 _Iprovcode_5
{col 23}_Iprovcode_6 _Iprovcode_7 _Iprovcode_8 _Iprovcode_9
{col 23}_Iprovcode_10 _Iprovcode_11 _Iprovcode_12 _Iprovcode_13
{col 23}_Iprovcode_14 _Iprovcode_15 _Iprovcode_16 _Iprovcode_17
{col 23}_Iprovcode_18 _Iprovcode_19 _Iprovcode_20 _Iprovcode_21
{col 23}_Iprovcode_22 _Iprovcode_23 _Iprovcode_24 _Iprovcode_26
{col 23}_Iprovcode_27 _Iprovcode_28 _Iprovcode_29 _Iprovcode_30
{col 23}_Iprovcode_31 _Iprovcode_32 _Iprovcode_33 _Iprovcode_34
{col 23}_Iprovcode_35 _Iprovcode_36 _Iprovcode_37 _Iprovcode_38
{col 23}_Iprovcode_39 _Iprovcode_40 _Iprovcode_41 _Iprovcode_42
{col 23}_Iprovcode_43 _Iprovcode_44 _Iprovcode_45 _Iprovcode_46
{col 23}_Iprovcode_47 _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"tableA12.tex"'"':tableA12.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "tableA12.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on year
Number of obs = {col 31}{res}     301
{txt}Number of clusters (year) = {col 33}{res}    49
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}  -146.11{col 29}{space 2} 26.11736{col 40}{space 1}   -5.59{col 49}{space 3}0.000{col 57}{space 4}-197.6123{col 70}{space 3}-94.60765
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    48) = {res}   31.30
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    48) = {res}   31.30
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    48{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    48{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   31.30{col 28}  0.0000{col 37}{txt}|{col 42}{res}   48.16{col 51}  0.0000{col 60}{txt}|{col 65}{res}   31.30

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}11.51  {col 61}{txt}P-val={res}0.0007

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   65.12
Kleibergen-Paap Wald rk F statistic{col 65}   31.30

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}48{txt})={col 49}{res}   7.73{col 61}{txt}P-val={res}0.0077
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.90{col 61}{txt}P-val={res}0.0006
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.09{col 61}{txt}P-val={res}0.0241

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        49
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}       101
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on year

Number of clusters (year) = {col 33}{res}    49{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    48) = {res}    7.90
{txt}{col 55}Prob > F      = {res}  0.0071
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.0020
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.0020
{txt}Residual SS             = {res} 28.23352851{txt}{col 55}Root MSE      = {res}   .3063

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0166637{col 26}{space 2} .0047785{col 37}{space 1}   -3.49{col 46}{space 3}0.000{col 54}{space 4}-.0260294{col 67}{space 3} -.007298
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.509
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0007
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.120
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.297
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iprovcode_2 _Iprovcode_3 _Iprovcode_4 _Iprovcode_5
{col 23}_Iprovcode_6 _Iprovcode_7 _Iprovcode_8 _Iprovcode_9
{col 23}_Iprovcode_10 _Iprovcode_11 _Iprovcode_12 _Iprovcode_13
{col 23}_Iprovcode_14 _Iprovcode_15 _Iprovcode_16 _Iprovcode_17
{col 23}_Iprovcode_18 _Iprovcode_19 _Iprovcode_20 _Iprovcode_21
{col 23}_Iprovcode_22 _Iprovcode_23 _Iprovcode_24 _Iprovcode_26
{col 23}_Iprovcode_27 _Iprovcode_28 _Iprovcode_29 _Iprovcode_30
{col 23}_Iprovcode_31 _Iprovcode_32 _Iprovcode_33 _Iprovcode_34
{col 23}_Iprovcode_35 _Iprovcode_36 _Iprovcode_37 _Iprovcode_38
{col 23}_Iprovcode_39 _Iprovcode_40 _Iprovcode_41 _Iprovcode_42
{col 23}_Iprovcode_43 _Iprovcode_44 _Iprovcode_45 _Iprovcode_46
{col 23}_Iprovcode_47 _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        301    .1435135    .4284629  -1.252763   1.203973
{txt}{stata `"shellout using `"tableA12.tex"'"':tableA12.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "tableA12.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: ivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year i.provcode distfuture if distfuture<=9, cluster(year)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  tableA12.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on year
Number of obs = {col 31}{res}     301
{txt}Number of clusters (year) = {col 33}{res}    49
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-37.56215{col 29}{space 2} 16.57878{col 40}{space 1}   -2.27{col 49}{space 3}0.025{col 57}{space 4} -70.2548{col 70}{space 3}-4.869512
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    48) = {res}    5.13
{txt}  Prob > F      = {res}  0.0280
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    48) = {res}    5.13
{txt}  Prob > F      = {res}  0.0280



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    48{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    48{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    5.13{col 28}  0.0280{col 37}{txt}|{col 42}{res}    7.90{col 51}  0.0049{col 60}{txt}|{col 65}{res}    5.13

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}4.80   {col 61}{txt}P-val={res}0.0284

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   13.19
Kleibergen-Paap Wald rk F statistic{col 65}    5.13

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}48{txt})={col 49}{res}  12.03{col 61}{txt}P-val={res}0.0011
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  18.52{col 61}{txt}P-val={res}0.0000
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.73{col 61}{txt}P-val={res}0.0166

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        49
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}       101
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on year

Number of clusters (year) = {col 33}{res}    49{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    48) = {res}    3.57
{txt}{col 55}Prob > F      = {res}  0.0647
{txt}Total (centered) SS     = {res}  1344355223{txt}{col 55}Centered R2   = {res} -0.9442
{txt}Total (uncentered) SS   = {res}  1344355223{txt}{col 55}Uncentered R2 = {res} -0.9442
{txt}Residual SS             = {res}  2613723106{txt}{col 55}Root MSE      = {res}    2947

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-653.0797{col 26}{space 2}  278.473{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-1198.877{col 67}{space 3}-107.2827
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   4.803
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0284
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.192
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   5.133
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iprovcode_2 _Iprovcode_3 _Iprovcode_4 _Iprovcode_5
{col 23}_Iprovcode_6 _Iprovcode_7 _Iprovcode_8 _Iprovcode_9
{col 23}_Iprovcode_10 _Iprovcode_11 _Iprovcode_12 _Iprovcode_13
{col 23}_Iprovcode_14 _Iprovcode_15 _Iprovcode_16 _Iprovcode_17
{col 23}_Iprovcode_18 _Iprovcode_19 _Iprovcode_20 _Iprovcode_21
{col 23}_Iprovcode_22 _Iprovcode_23 _Iprovcode_24 _Iprovcode_26
{col 23}_Iprovcode_27 _Iprovcode_28 _Iprovcode_29 _Iprovcode_30
{col 23}_Iprovcode_31 _Iprovcode_32 _Iprovcode_33 _Iprovcode_34
{col 23}_Iprovcode_35 _Iprovcode_36 _Iprovcode_37 _Iprovcode_38
{col 23}_Iprovcode_39 _Iprovcode_40 _Iprovcode_41 _Iprovcode_42
{col 23}_Iprovcode_43 _Iprovcode_44 _Iprovcode_45 _Iprovcode_46
{col 23}_Iprovcode_47 _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"tableA12.tex"'"':tableA12.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "tableA12.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on year
Number of obs = {col 31}{res}     301
{txt}Number of clusters (year) = {col 33}{res}    49
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-37.56215{col 29}{space 2} 16.57878{col 40}{space 1}   -2.27{col 49}{space 3}0.025{col 57}{space 4} -70.2548{col 70}{space 3}-4.869512
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    48) = {res}    5.13
{txt}  Prob > F      = {res}  0.0280
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    48) = {res}    5.13
{txt}  Prob > F      = {res}  0.0280



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    48{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    48{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    5.13{col 28}  0.0280{col 37}{txt}|{col 42}{res}    7.90{col 51}  0.0049{col 60}{txt}|{col 65}{res}    5.13

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}4.80   {col 61}{txt}P-val={res}0.0284

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   13.19
Kleibergen-Paap Wald rk F statistic{col 65}    5.13

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}48{txt})={col 49}{res}   8.74{col 61}{txt}P-val={res}0.0048
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  13.45{col 61}{txt}P-val={res}0.0002
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.44{col 61}{txt}P-val={res}0.0197

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        49
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}       101
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on year

Number of clusters (year) = {col 33}{res}    49{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    48) = {res}    3.33
{txt}{col 55}Prob > F      = {res}  0.0741
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.6255
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.6255
{txt}Residual SS             = {res} 45.79939304{txt}{col 55}Root MSE      = {res}   .3901

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0718619{col 26}{space 2} .0317244{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.1340406{col 67}{space 3}-.0096832
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   4.803
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0284
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.192
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   5.133
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iprovcode_2 _Iprovcode_3 _Iprovcode_4 _Iprovcode_5
{col 23}_Iprovcode_6 _Iprovcode_7 _Iprovcode_8 _Iprovcode_9
{col 23}_Iprovcode_10 _Iprovcode_11 _Iprovcode_12 _Iprovcode_13
{col 23}_Iprovcode_14 _Iprovcode_15 _Iprovcode_16 _Iprovcode_17
{col 23}_Iprovcode_18 _Iprovcode_19 _Iprovcode_20 _Iprovcode_21
{col 23}_Iprovcode_22 _Iprovcode_23 _Iprovcode_24 _Iprovcode_26
{col 23}_Iprovcode_27 _Iprovcode_28 _Iprovcode_29 _Iprovcode_30
{col 23}_Iprovcode_31 _Iprovcode_32 _Iprovcode_33 _Iprovcode_34
{col 23}_Iprovcode_35 _Iprovcode_36 _Iprovcode_37 _Iprovcode_38
{col 23}_Iprovcode_39 _Iprovcode_40 _Iprovcode_41 _Iprovcode_42
{col 23}_Iprovcode_43 _Iprovcode_44 _Iprovcode_45 _Iprovcode_46
{col 23}_Iprovcode_47 _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1751 _Iprovcode_25
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        301    .1435135    .4284629  -1.252763   1.203973
{txt}{stata `"shellout using `"tableA12.tex"'"':tableA12.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "tableA12.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. ******************************************************************
. ***FIGURE A.6 AND A.7: Robustness to Outliers (Province and Year)
. *******************************************************************
. 
. *Figure A.6 (leaving out one province at time)
. 
. use newmembersdata, clear
{txt}
{com}. 
. 
. #delimit ;
{txt}delimiter now ;
{com}. xi: xtivreg2 lgprice (chshsold = 
> totspanishdeath) obyear1-obyear8
> i.year 
> distfuture if distfuture<=9, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.3336{col 29}{space 2} 13.59328{col 40}{space 1}   10.77{col 49}{space 3}0.000{col 57}{space 4}  119.529{col 70}{space 3} 173.1381
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  115.89{col 28}  0.0000{col 37}{txt}|{col 42}{res}  144.47{col 51}  0.0000{col 60}{txt}|{col 65}{res}  115.89

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.31  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   68.67
Kleibergen-Paap Wald rk F statistic{col 65}  115.89

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   9.42{col 61}{txt}P-val={res}0.0036
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.74{col 61}{txt}P-val={res}0.0006
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.84{col 61}{txt}P-val={res}0.0157

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    8.94
{txt}{col 55}Prob > F      = {res}  0.0045
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.0115
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.0115
{txt}Residual SS             = {res} 28.50149153{txt}{col 55}Root MSE      = {res}   .3343

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0166382{col 26}{space 2} .0049836{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .0068705{col 67}{space 3}  .026406
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.313
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  68.666
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 115.888
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. keep if e(sample) 
{txt}(143 observations deleted)

{com}. 
. egen code = group(provcode)
{txt}
{com}. tab code

{txt}group(provc {c |}
       ode) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          4        1.33        1.33
{txt}          2 {c |}{res}          8        2.66        3.99
{txt}          3 {c |}{res}          4        1.33        5.32
{txt}          4 {c |}{res}          6        1.99        7.31
{txt}          5 {c |}{res}          5        1.66        8.97
{txt}          6 {c |}{res}          3        1.00        9.97
{txt}          7 {c |}{res}         13        4.32       14.29
{txt}          8 {c |}{res}          6        1.99       16.28
{txt}          9 {c |}{res}          6        1.99       18.27
{txt}         10 {c |}{res}          8        2.66       20.93
{txt}         11 {c |}{res}          5        1.66       22.59
{txt}         12 {c |}{res}          9        2.99       25.58
{txt}         13 {c |}{res}          7        2.33       27.91
{txt}         14 {c |}{res}          7        2.33       30.23
{txt}         15 {c |}{res}          7        2.33       32.56
{txt}         16 {c |}{res}          4        1.33       33.89
{txt}         17 {c |}{res}         10        3.32       37.21
{txt}         18 {c |}{res}          7        2.33       39.53
{txt}         19 {c |}{res}          2        0.66       40.20
{txt}         20 {c |}{res}          5        1.66       41.86
{txt}         21 {c |}{res}          7        2.33       44.19
{txt}         22 {c |}{res}          5        1.66       45.85
{txt}         23 {c |}{res}          3        1.00       46.84
{txt}         24 {c |}{res}          9        2.99       49.83
{txt}         25 {c |}{res}          7        2.33       52.16
{txt}         26 {c |}{res}          6        1.99       54.15
{txt}         27 {c |}{res}          9        2.99       57.14
{txt}         28 {c |}{res}          5        1.66       58.80
{txt}         29 {c |}{res}          6        1.99       60.80
{txt}         30 {c |}{res}          6        1.99       62.79
{txt}         31 {c |}{res}          7        2.33       65.12
{txt}         32 {c |}{res}          9        2.99       68.11
{txt}         33 {c |}{res}          2        0.66       68.77
{txt}         34 {c |}{res}          7        2.33       71.10
{txt}         35 {c |}{res}          7        2.33       73.42
{txt}         36 {c |}{res}          5        1.66       75.08
{txt}         37 {c |}{res}          7        2.33       77.41
{txt}         38 {c |}{res}         12        3.99       81.40
{txt}         39 {c |}{res}          8        2.66       84.05
{txt}         40 {c |}{res}          2        0.66       84.72
{txt}         41 {c |}{res}          4        1.33       86.05
{txt}         42 {c |}{res}         13        4.32       90.37
{txt}         43 {c |}{res}          3        1.00       91.36
{txt}         44 {c |}{res}          7        2.33       93.69
{txt}         45 {c |}{res}          8        2.66       96.35
{txt}         46 {c |}{res}         11        3.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        301      100.00
{txt}
{com}. 
. 
. # delimit ;
{txt}delimiter now ;
{com}. forvalues i=1(1)46 {c -(};
{txt}  2{com}.  qui
> xi: xtivreg2 lgprice (chshsold = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & code!=`i', fe cluster(provcode) first partial (obyear* distfuture _I*);
{txt}  3{com}. qui parmest, saving ("tf`i'", replace);
{txt}  4{com}. {c )-};
{txt}
{com}. # delimit cr
{txt}delimiter now cr
{com}. 
. # delimit ;
{txt}delimiter now ;
{com}. use "tf1", clear;
{txt}
{com}. foreach i of numlist 2/46{c -(};
{txt}  2{com}. append using "tf`i'";
{txt}  3{com}. {c )-};
{txt}
{com}. # delimit cr
{txt}delimiter now cr
{com}.         
. format estimate min95 max95 z %8.2f
{txt}
{com}. gen id = _n
{txt}
{com}. label var z "Z-Statistic"
{txt}
{com}. label var estimate "Coefficient"
{txt}
{com}. 
. 
. twoway (line estimate id, lcolor(black) lpattern(solid) ylabel(0.012(0.002)0.02) ytitle("Coefficient on Log Growth Rates (col 2 table 3)", size(small)) sort) (line z id,  sort lcolor(black) lpattern(dash) yaxis(2) yline(1.96, axis(2)) ytitle("Z-Statistic on Log Growth Rates (col 2 table 3)", size(small) axis(2)) ylabel(1(1)4, axis(2))), xtitle("Provincial Code") graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white))
{res}{txt}
{com}. 
. graph save figA6, replace
{res}{txt}(file figA6.gph saved)

{com}. 
. local list : dir . files "*tf*.dta"
{txt}
{com}. foreach f of local list {c -(}
{txt}  2{com}.     erase "`f'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. ******************************************
. *Figure A.7 (leaving out one year at time)
. ******************************************
. 
. use newmembersdata, clear
{txt}
{com}. 
. #delimit ;
{txt}delimiter now ;
{com}. xi: xtivreg2 lgprice (chshsold = 
> totspanishdeath) obyear1-obyear8
> i.year 
> distfuture if distfuture<=9, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.3336{col 29}{space 2} 13.59328{col 40}{space 1}   10.77{col 49}{space 3}0.000{col 57}{space 4}  119.529{col 70}{space 3} 173.1381
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  115.89
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  115.89{col 28}  0.0000{col 37}{txt}|{col 42}{res}  144.47{col 51}  0.0000{col 60}{txt}|{col 65}{res}  115.89

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.31  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   68.67
Kleibergen-Paap Wald rk F statistic{col 65}  115.89

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   9.42{col 61}{txt}P-val={res}0.0036
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.74{col 61}{txt}P-val={res}0.0006
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.84{col 61}{txt}P-val={res}0.0157

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    8.94
{txt}{col 55}Prob > F      = {res}  0.0045
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.0115
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.0115
{txt}Residual SS             = {res} 28.50149153{txt}{col 55}Root MSE      = {res}   .3343

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0166382{col 26}{space 2} .0049836{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .0068705{col 67}{space 3}  .026406
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.313
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  68.666
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 115.888
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. keep if e(sample) 
{txt}(143 observations deleted)

{com}. 
. egen code = group(year)
{txt}
{com}. tab code

{txt}group(year) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          6        1.99        1.99
{txt}          2 {c |}{res}          4        1.33        3.32
{txt}          3 {c |}{res}          5        1.66        4.98
{txt}          4 {c |}{res}          1        0.33        5.32
{txt}          5 {c |}{res}         14        4.65        9.97
{txt}          6 {c |}{res}          7        2.33       12.29
{txt}          7 {c |}{res}          5        1.66       13.95
{txt}          8 {c |}{res}          3        1.00       14.95
{txt}          9 {c |}{res}          3        1.00       15.95
{txt}         10 {c |}{res}          3        1.00       16.94
{txt}         11 {c |}{res}          2        0.66       17.61
{txt}         12 {c |}{res}          2        0.66       18.27
{txt}         13 {c |}{res}          1        0.33       18.60
{txt}         14 {c |}{res}          3        1.00       19.60
{txt}         15 {c |}{res}          2        0.66       20.27
{txt}         16 {c |}{res}          1        0.33       20.60
{txt}         17 {c |}{res}         14        4.65       25.25
{txt}         18 {c |}{res}          4        1.33       26.58
{txt}         19 {c |}{res}          4        1.33       27.91
{txt}         20 {c |}{res}         16        5.32       33.22
{txt}         21 {c |}{res}         17        5.65       38.87
{txt}         22 {c |}{res}          8        2.66       41.53
{txt}         23 {c |}{res}          2        0.66       42.19
{txt}         24 {c |}{res}         19        6.31       48.50
{txt}         25 {c |}{res}          6        1.99       50.50
{txt}         26 {c |}{res}          2        0.66       51.16
{txt}         27 {c |}{res}          8        2.66       53.82
{txt}         28 {c |}{res}         12        3.99       57.81
{txt}         29 {c |}{res}          2        0.66       58.47
{txt}         30 {c |}{res}          4        1.33       59.80
{txt}         31 {c |}{res}          1        0.33       60.13
{txt}         32 {c |}{res}          8        2.66       62.79
{txt}         33 {c |}{res}         12        3.99       66.78
{txt}         34 {c |}{res}          7        2.33       69.10
{txt}         35 {c |}{res}          2        0.66       69.77
{txt}         36 {c |}{res}          5        1.66       71.43
{txt}         37 {c |}{res}         10        3.32       74.75
{txt}         38 {c |}{res}          1        0.33       75.08
{txt}         39 {c |}{res}          6        1.99       77.08
{txt}         40 {c |}{res}          4        1.33       78.41
{txt}         41 {c |}{res}          5        1.66       80.07
{txt}         42 {c |}{res}          6        1.99       82.06
{txt}         43 {c |}{res}          6        1.99       84.05
{txt}         44 {c |}{res}          5        1.66       85.71
{txt}         45 {c |}{res}         11        3.65       89.37
{txt}         46 {c |}{res}          8        2.66       92.03
{txt}         47 {c |}{res}         12        3.99       96.01
{txt}         48 {c |}{res}          9        2.99       99.00
{txt}         49 {c |}{res}          3        1.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        301      100.00
{txt}
{com}. 
. 
. # delimit ;
{txt}delimiter now ;
{com}. forvalues i=1(1)49 {c -(};
{txt}  2{com}.  qui
> xi: xtivreg2 lgprice (chshsold = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & code!=`i', fe cluster(provcode) first partial (obyear* distfuture _I*);
{txt}  3{com}. qui parmest, saving ("tf`i'", replace);
{txt}  4{com}. {c )-};
{txt}
{com}. # delimit cr
{txt}delimiter now cr
{com}. 
. # delimit ;
{txt}delimiter now ;
{com}. use "tf1", clear;
{txt}
{com}. foreach i of numlist 2/49{c -(};
{txt}  2{com}. append using "tf`i'";
{txt}  3{com}. {c )-};
{txt}
{com}. # delimit cr
{txt}delimiter now cr
{com}. 
.         
. format estimate min95 max95 z %8.2f
{txt}
{com}. gen id = _n
{txt}
{com}. label var z "Z Stat"
{txt}
{com}. label var estimate "Coefficient"
{txt}
{com}. 
. 
. label define labcode 1"1688"    2"1689" 3"1690" 4"1691" 5"1692" 6"1693" 7"1694" 8"1695" 9"1696" 10"1697"        11"1698"        12"1700"        13"1704"        14"1705"        15"1706"        16"1707"        17"1708"        18"1709"        19"1710"        20"1711"        21"1712"        22"1713"        23"1714"        24"1715"        25"1716"        26"1717"        27"1718"        28"1719"        29"1720"        30"1728"        31"1731"        32"1732"        33"1734"        34"1735"        35"1736"        36"1737"        37"1738"        38"1739"        39"1740"        40"1741"        41"1742"        42"1744"        43"1745"        44"1746"        45"1747"        46"1748"        47"1749"        48"1750"        49"1751"
{txt}
{com}. 
. label values id labcode
{txt}
{com}. 
. twoway (line estimate id, lcolor(black) lpattern(solid) ylabel(0.012(0.002)0.02) ytitle("Coefficient on Log Growth Rates (col 2 table 3)", size(small)) sort) (line z id,  sort lcolor(black) lpattern(dash) yaxis(2) yline(1.96, axis(2)) ytitle("Z-Statistic on Log Growth Rates (col 2 table 3)", size(small) axis(2)) ylabel(1(1)4, axis(2))),  xtitle("Year Excluded") xlabel(1(4)49,valuelabel labsize(small) alternate) graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white))
{res}{txt}
{com}. 
. graph save figA7, replace
{res}{txt}(file figA7.gph saved)

{com}. 
. local list : dir . files "*tf*.dta"
{txt}
{com}. foreach f of local list {c -(}
{txt}  2{com}.     erase "`f'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. *********************************************************************
. ***TABLE A.13: Eliminating influential observations from Baseline Estimates (Table 3) using Cook's Distance
. *********************************************************************
. 
. set seed 1984
{txt}
{com}. 
. 
. *new members data
. 
. use newmembersdata, clear
{txt}
{com}. 
. 
. *Column 1
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: reg chshsold 
>     totspanishdeath
>     i.year i.provcode
>     distfuture if distfuture<=9;
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
note: _Iyear_1699 omitted because of collinearity
note: _Iyear_1729 omitted because of collinearity
note: _Iyear_1730 omitted because of collinearity
note: _Iyear_1731 omitted because of collinearity
note: _Iyear_1733 omitted because of collinearity
note: _Iprovcode_25 omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}       301
{txt}{hline 13}{c +}{hline 34}   F(95, 205)      = {res}    10.66
{txt}       Model {c |} {res} 67780.7314        95  713.481383   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 13717.4994       205  66.9146311   {txt}R-squared       ={res}    0.8317
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.7537
{txt}       Total {c |} {res} 81498.2307       300  271.660769   {txt}Root MSE        =   {res} 8.1801

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 143.7725{col 29}{space 2} 18.09225{col 40}{space 1}    7.95{col 49}{space 3}0.000{col 57}{space 4} 108.1018{col 70}{space 3} 179.4433
{txt}{space 4}_Iyear_1688 {c |}{col 17}{res}{space 2} 12.75889{col 29}{space 2} 9.839599{col 40}{space 1}    1.30{col 49}{space 3}0.196{col 57}{space 4}-6.640893{col 70}{space 3} 32.15868
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2} 11.06787{col 29}{space 2} 9.705667{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4} -8.06786{col 70}{space 3} 30.20359
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2}-41.12371{col 29}{space 2} 9.566831{col 40}{space 1}   -4.30{col 49}{space 3}0.000{col 57}{space 4} -59.9857{col 70}{space 3}-22.26171
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2}-36.39489{col 29}{space 2} 12.85437{col 40}{space 1}   -2.83{col 49}{space 3}0.005{col 57}{space 4}-61.73862{col 70}{space 3}-11.05116
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2}-26.08897{col 29}{space 2} 9.458896{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4}-44.73816{col 70}{space 3}-7.439774
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2} 10.42547{col 29}{space 2} 9.707564{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4}   -8.714{col 70}{space 3} 29.56494
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2} 14.21922{col 29}{space 2} 9.983999{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4}-5.465266{col 70}{space 3} 33.90371
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2} 14.32972{col 29}{space 2} 10.58726{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4}-6.544149{col 70}{space 3}  35.2036
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2} 16.98565{col 29}{space 2} 10.50265{col 40}{space 1}    1.62{col 49}{space 3}0.107{col 57}{space 4}-3.721421{col 70}{space 3} 37.69271
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2} 29.06793{col 29}{space 2} 10.45307{col 40}{space 1}    2.78{col 49}{space 3}0.006{col 57}{space 4} 8.458627{col 70}{space 3} 49.67723
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2} 33.85251{col 29}{space 2} 11.16628{col 40}{space 1}    3.03{col 49}{space 3}0.003{col 57}{space 4} 11.83704{col 70}{space 3} 55.86798
{txt}{space 4}_Iyear_1699 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}  27.3129{col 29}{space 2} 11.18125{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 5.267908{col 70}{space 3} 49.35789
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2} 5.452109{col 29}{space 2} 12.60569{col 40}{space 1}    0.43{col 49}{space 3}0.666{col 57}{space 4}-19.40132{col 70}{space 3} 30.30554
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2} 16.80575{col 29}{space 2} 10.75038{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-4.389737{col 70}{space 3} 38.00124
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2}   21.994{col 29}{space 2} 11.35028{col 40}{space 1}    1.94{col 49}{space 3}0.054{col 57}{space 4}-.3842559{col 70}{space 3} 44.37225
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2} 14.25874{col 29}{space 2} 12.84568{col 40}{space 1}    1.11{col 49}{space 3}0.268{col 57}{space 4}-11.06785{col 70}{space 3} 39.58533
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2}  20.7364{col 29}{space 2} 9.429817{col 40}{space 1}    2.20{col 49}{space 3}0.029{col 57}{space 4} 2.144535{col 70}{space 3} 39.32826
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2} 19.57866{col 29}{space 2} 10.17239{col 40}{space 1}    1.92{col 49}{space 3}0.056{col 57}{space 4}-.4772517{col 70}{space 3} 39.63457
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2} 19.32821{col 29}{space 2} 9.691765{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} .2198953{col 70}{space 3} 38.43653
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2}  19.8534{col 29}{space 2} 9.401557{col 40}{space 1}    2.11{col 49}{space 3}0.036{col 57}{space 4} 1.317259{col 70}{space 3} 38.38954
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2} 21.55775{col 29}{space 2} 9.400415{col 40}{space 1}    2.29{col 49}{space 3}0.023{col 57}{space 4} 3.023862{col 70}{space 3} 40.09164
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2} 9.842812{col 29}{space 2} 9.662709{col 40}{space 1}    1.02{col 49}{space 3}0.310{col 57}{space 4}-9.208219{col 70}{space 3} 28.89384
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2}  9.10676{col 29}{space 2} 11.14227{col 40}{space 1}    0.82{col 49}{space 3}0.415{col 57}{space 4}-12.86137{col 70}{space 3} 31.07489
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2}  10.3597{col 29}{space 2} 9.275624{col 40}{space 1}    1.12{col 49}{space 3}0.265{col 57}{space 4}-7.928151{col 70}{space 3} 28.64756
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2} 12.86652{col 29}{space 2} 9.913791{col 40}{space 1}    1.30{col 49}{space 3}0.196{col 57}{space 4}-6.679546{col 70}{space 3} 32.41258
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2} 9.856647{col 29}{space 2} 11.12251{col 40}{space 1}    0.89{col 49}{space 3}0.377{col 57}{space 4}-12.07254{col 70}{space 3} 31.78583
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2}-2.473837{col 29}{space 2} 9.784016{col 40}{space 1}   -0.25{col 49}{space 3}0.801{col 57}{space 4}-21.76404{col 70}{space 3} 16.81636
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2}   2.3793{col 29}{space 2} 9.524627{col 40}{space 1}    0.25{col 49}{space 3}0.803{col 57}{space 4}-16.39949{col 70}{space 3} 21.15809
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2}-10.53413{col 29}{space 2} 11.29971{col 40}{space 1}   -0.93{col 49}{space 3}0.352{col 57}{space 4}-32.81267{col 70}{space 3} 11.74441
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2}-42.43332{col 29}{space 2} 11.30754{col 40}{space 1}   -3.75{col 49}{space 3}0.000{col 57}{space 4}-64.72732{col 70}{space 3}-20.13933
{txt}{space 4}_Iyear_1729 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1730 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2} 5.171785{col 29}{space 2} 9.667805{col 40}{space 1}    0.53{col 49}{space 3}0.593{col 57}{space 4}-13.88929{col 70}{space 3} 24.23286
{txt}{space 4}_Iyear_1733 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2}-2.747555{col 29}{space 2} 9.567536{col 40}{space 1}   -0.29{col 49}{space 3}0.774{col 57}{space 4}-21.61094{col 70}{space 3} 16.11583
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2} 12.37833{col 29}{space 2} 9.897027{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4}-7.134681{col 70}{space 3} 31.89134
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2} 21.46837{col 29}{space 2} 11.08802{col 40}{space 1}    1.94{col 49}{space 3}0.054{col 57}{space 4}-.3928072{col 70}{space 3} 43.32954
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2} 26.44908{col 29}{space 2} 9.935912{col 40}{space 1}    2.66{col 49}{space 3}0.008{col 57}{space 4} 6.859398{col 70}{space 3} 46.03876
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2} 20.40944{col 29}{space 2} 9.542045{col 40}{space 1}    2.14{col 49}{space 3}0.034{col 57}{space 4} 1.596313{col 70}{space 3} 39.22257
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2} 16.48604{col 29}{space 2} 12.92139{col 40}{space 1}    1.28{col 49}{space 3}0.203{col 57}{space 4}-8.989825{col 70}{space 3} 41.96191
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2} 13.47761{col 29}{space 2} 9.839104{col 40}{space 1}    1.37{col 49}{space 3}0.172{col 57}{space 4}-5.921204{col 70}{space 3} 32.87642
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2}  20.6151{col 29}{space 2} 10.26182{col 40}{space 1}    2.01{col 49}{space 3}0.046{col 57}{space 4}  .382858{col 70}{space 3} 40.84734
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2} 14.48833{col 29}{space 2} 9.976747{col 40}{space 1}    1.45{col 49}{space 3}0.148{col 57}{space 4}-5.181855{col 70}{space 3} 34.15852
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2}-5.657774{col 29}{space 2} 10.25201{col 40}{space 1}   -0.55{col 49}{space 3}0.582{col 57}{space 4}-25.87067{col 70}{space 3} 14.55512
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2} 17.82044{col 29}{space 2} 10.11008{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-2.112626{col 70}{space 3} 37.75351
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2} 17.16516{col 29}{space 2} 10.34635{col 40}{space 1}    1.66{col 49}{space 3}0.099{col 57}{space 4} -3.23374{col 70}{space 3} 37.56406
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2}  14.8549{col 29}{space 2} 9.720164{col 40}{space 1}    1.53{col 49}{space 3}0.128{col 57}{space 4} -4.30941{col 70}{space 3} 34.01921
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2} 8.724321{col 29}{space 2} 9.792993{col 40}{space 1}    0.89{col 49}{space 3}0.374{col 57}{space 4}-10.58358{col 70}{space 3} 28.03222
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2} 14.09711{col 29}{space 2} 9.537476{col 40}{space 1}    1.48{col 49}{space 3}0.141{col 57}{space 4}-4.707014{col 70}{space 3} 32.90123
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2} 15.16178{col 29}{space 2} 9.386205{col 40}{space 1}    1.62{col 49}{space 3}0.108{col 57}{space 4}-3.344099{col 70}{space 3} 33.66765
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2} 12.01499{col 29}{space 2} 10.52946{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4}-8.744922{col 70}{space 3} 32.77491
{txt}{space 3}_Iprovcode_2 {c |}{col 17}{res}{space 2}  -.24152{col 29}{space 2} 5.622949{col 40}{space 1}   -0.04{col 49}{space 3}0.966{col 57}{space 4}-11.32775{col 70}{space 3} 10.84471
{txt}{space 3}_Iprovcode_3 {c |}{col 17}{res}{space 2} 1.794139{col 29}{space 2} 6.393565{col 40}{space 1}    0.28{col 49}{space 3}0.779{col 57}{space 4}-10.81144{col 70}{space 3} 14.39971
{txt}{space 3}_Iprovcode_4 {c |}{col 17}{res}{space 2}  -4.1906{col 29}{space 2} 5.846827{col 40}{space 1}   -0.72{col 49}{space 3}0.474{col 57}{space 4}-15.71822{col 70}{space 3} 7.337024
{txt}{space 3}_Iprovcode_5 {c |}{col 17}{res}{space 2}-2.939181{col 29}{space 2} 5.870745{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4}-14.51396{col 70}{space 3}   8.6356
{txt}{space 3}_Iprovcode_6 {c |}{col 17}{res}{space 2}-7.776392{col 29}{space 2} 7.003027{col 40}{space 1}   -1.11{col 49}{space 3}0.268{col 57}{space 4}-21.58358{col 70}{space 3}   6.0308
{txt}{space 3}_Iprovcode_7 {c |}{col 17}{res}{space 2} 6.694852{col 29}{space 2} 5.260687{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4}-3.677136{col 70}{space 3} 17.06684
{txt}{space 3}_Iprovcode_8 {c |}{col 17}{res}{space 2} -1.22741{col 29}{space 2} 6.123658{col 40}{space 1}   -0.20{col 49}{space 3}0.841{col 57}{space 4}-13.30084{col 70}{space 3} 10.84602
{txt}{space 3}_Iprovcode_9 {c |}{col 17}{res}{space 2}-5.890288{col 29}{space 2}  5.72963{col 40}{space 1}   -1.03{col 49}{space 3}0.305{col 57}{space 4}-17.18685{col 70}{space 3}  5.40627
{txt}{space 2}_Iprovcode_10 {c |}{col 17}{res}{space 2} .9135728{col 29}{space 2}  5.43061{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4}-9.793436{col 70}{space 3} 11.62058
{txt}{space 2}_Iprovcode_11 {c |}{col 17}{res}{space 2} -3.00246{col 29}{space 2} 6.050887{col 40}{space 1}   -0.50{col 49}{space 3}0.620{col 57}{space 4}-14.93241{col 70}{space 3}  8.92749
{txt}{space 2}_Iprovcode_12 {c |}{col 17}{res}{space 2}-2.746235{col 29}{space 2} 5.491854{col 40}{space 1}   -0.50{col 49}{space 3}0.618{col 57}{space 4}-13.57399{col 70}{space 3} 8.081525
{txt}{space 2}_Iprovcode_13 {c |}{col 17}{res}{space 2} -4.21439{col 29}{space 2} 5.604195{col 40}{space 1}   -0.75{col 49}{space 3}0.453{col 57}{space 4}-15.26364{col 70}{space 3}  6.83486
{txt}{space 2}_Iprovcode_14 {c |}{col 17}{res}{space 2} 3.796206{col 29}{space 2} 5.608201{col 40}{space 1}    0.68{col 49}{space 3}0.499{col 57}{space 4}-7.260943{col 70}{space 3} 14.85336
{txt}{space 2}_Iprovcode_15 {c |}{col 17}{res}{space 2}-.5757349{col 29}{space 2} 5.641835{col 40}{space 1}   -0.10{col 49}{space 3}0.919{col 57}{space 4} -11.6992{col 70}{space 3} 10.54773
{txt}{space 2}_Iprovcode_16 {c |}{col 17}{res}{space 2} 3.377955{col 29}{space 2} 6.121122{col 40}{space 1}    0.55{col 49}{space 3}0.582{col 57}{space 4} -8.69047{col 70}{space 3} 15.44638
{txt}{space 2}_Iprovcode_17 {c |}{col 17}{res}{space 2}  2.38344{col 29}{space 2} 5.305699{col 40}{space 1}    0.45{col 49}{space 3}0.654{col 57}{space 4}-8.077293{col 70}{space 3} 12.84417
{txt}{space 2}_Iprovcode_18 {c |}{col 17}{res}{space 2}-5.113687{col 29}{space 2} 5.569725{col 40}{space 1}   -0.92{col 49}{space 3}0.360{col 57}{space 4}-16.09498{col 70}{space 3} 5.867603
{txt}{space 2}_Iprovcode_19 {c |}{col 17}{res}{space 2} 2.652106{col 29}{space 2} 7.802963{col 40}{space 1}    0.34{col 49}{space 3}0.734{col 57}{space 4}-12.73224{col 70}{space 3} 18.03646
{txt}{space 2}_Iprovcode_20 {c |}{col 17}{res}{space 2}-.5984259{col 29}{space 2}   5.9472{col 40}{space 1}   -0.10{col 49}{space 3}0.920{col 57}{space 4}-12.32395{col 70}{space 3} 11.12709
{txt}{space 2}_Iprovcode_21 {c |}{col 17}{res}{space 2} .5846396{col 29}{space 2} 6.128327{col 40}{space 1}    0.10{col 49}{space 3}0.924{col 57}{space 4}-11.49799{col 70}{space 3} 12.66727
{txt}{space 2}_Iprovcode_22 {c |}{col 17}{res}{space 2} -.631871{col 29}{space 2} 5.905992{col 40}{space 1}   -0.11{col 49}{space 3}0.915{col 57}{space 4}-12.27615{col 70}{space 3}  11.0124
{txt}{space 2}_Iprovcode_23 {c |}{col 17}{res}{space 2}-.8967088{col 29}{space 2}  6.54751{col 40}{space 1}   -0.14{col 49}{space 3}0.891{col 57}{space 4} -13.8058{col 70}{space 3} 12.01238
{txt}{space 2}_Iprovcode_24 {c |}{col 17}{res}{space 2} 5.551847{col 29}{space 2}  5.42452{col 40}{space 1}    1.02{col 49}{space 3}0.307{col 57}{space 4}-5.143155{col 70}{space 3} 16.24685
{txt}{space 2}_Iprovcode_25 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 2}_Iprovcode_26 {c |}{col 17}{res}{space 2}-3.800347{col 29}{space 2} 5.527277{col 40}{space 1}   -0.69{col 49}{space 3}0.493{col 57}{space 4}-14.69795{col 70}{space 3} 7.097253
{txt}{space 2}_Iprovcode_27 {c |}{col 17}{res}{space 2}-4.470064{col 29}{space 2} 5.672995{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4}-15.65496{col 70}{space 3} 6.714833
{txt}{space 2}_Iprovcode_28 {c |}{col 17}{res}{space 2} 4.952574{col 29}{space 2} 5.383168{col 40}{space 1}    0.92{col 49}{space 3}0.359{col 57}{space 4}-5.660899{col 70}{space 3} 15.56605
{txt}{space 2}_Iprovcode_29 {c |}{col 17}{res}{space 2}-.3807348{col 29}{space 2} 6.233233{col 40}{space 1}   -0.06{col 49}{space 3}0.951{col 57}{space 4} -12.6702{col 70}{space 3} 11.90873
{txt}{space 2}_Iprovcode_30 {c |}{col 17}{res}{space 2}-1.608888{col 29}{space 2} 5.836163{col 40}{space 1}   -0.28{col 49}{space 3}0.783{col 57}{space 4}-13.11549{col 70}{space 3} 9.897711
{txt}{space 2}_Iprovcode_31 {c |}{col 17}{res}{space 2} 3.642417{col 29}{space 2}  6.04006{col 40}{space 1}    0.60{col 49}{space 3}0.547{col 57}{space 4}-8.266185{col 70}{space 3} 15.55102
{txt}{space 2}_Iprovcode_32 {c |}{col 17}{res}{space 2}-1.803592{col 29}{space 2} 5.604818{col 40}{space 1}   -0.32{col 49}{space 3}0.748{col 57}{space 4}-12.85407{col 70}{space 3} 9.246886
{txt}{space 2}_Iprovcode_33 {c |}{col 17}{res}{space 2} 3.326248{col 29}{space 2} 5.346019{col 40}{space 1}    0.62{col 49}{space 3}0.535{col 57}{space 4}-7.213981{col 70}{space 3} 13.86648
{txt}{space 2}_Iprovcode_34 {c |}{col 17}{res}{space 2}-2.955099{col 29}{space 2} 7.688693{col 40}{space 1}   -0.38{col 49}{space 3}0.701{col 57}{space 4}-18.11415{col 70}{space 3} 12.20395
{txt}{space 2}_Iprovcode_35 {c |}{col 17}{res}{space 2} 1.121765{col 29}{space 2} 5.603591{col 40}{space 1}    0.20{col 49}{space 3}0.842{col 57}{space 4}-9.926295{col 70}{space 3} 12.16983
{txt}{space 2}_Iprovcode_36 {c |}{col 17}{res}{space 2}-2.859048{col 29}{space 2} 5.547156{col 40}{space 1}   -0.52{col 49}{space 3}0.607{col 57}{space 4}-13.79584{col 70}{space 3} 8.077744
{txt}{space 2}_Iprovcode_37 {c |}{col 17}{res}{space 2} 8.242541{col 29}{space 2} 6.392997{col 40}{space 1}    1.29{col 49}{space 3}0.199{col 57}{space 4}-4.361914{col 70}{space 3}   20.847
{txt}{space 2}_Iprovcode_38 {c |}{col 17}{res}{space 2}-2.119837{col 29}{space 2} 5.829632{col 40}{space 1}   -0.36{col 49}{space 3}0.717{col 57}{space 4}-13.61356{col 70}{space 3} 9.373886
{txt}{space 2}_Iprovcode_39 {c |}{col 17}{res}{space 2} 3.568431{col 29}{space 2} 5.206328{col 40}{space 1}    0.69{col 49}{space 3}0.494{col 57}{space 4}-6.696384{col 70}{space 3} 13.83325
{txt}{space 2}_Iprovcode_40 {c |}{col 17}{res}{space 2}-.6464212{col 29}{space 2} 5.471167{col 40}{space 1}   -0.12{col 49}{space 3}0.906{col 57}{space 4}-11.43339{col 70}{space 3} 10.14055
{txt}{space 2}_Iprovcode_41 {c |}{col 17}{res}{space 2} -4.77398{col 29}{space 2} 7.767516{col 40}{space 1}   -0.61{col 49}{space 3}0.539{col 57}{space 4}-20.08844{col 70}{space 3} 10.54048
{txt}{space 2}_Iprovcode_42 {c |}{col 17}{res}{space 2} 2.236386{col 29}{space 2} 6.293485{col 40}{space 1}    0.36{col 49}{space 3}0.723{col 57}{space 4}-10.17187{col 70}{space 3} 14.64464
{txt}{space 2}_Iprovcode_43 {c |}{col 17}{res}{space 2} 5.642565{col 29}{space 2} 5.177587{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4}-4.565584{col 70}{space 3} 15.85071
{txt}{space 2}_Iprovcode_44 {c |}{col 17}{res}{space 2}  .389394{col 29}{space 2} 6.792177{col 40}{space 1}    0.06{col 49}{space 3}0.954{col 57}{space 4}-13.00209{col 70}{space 3} 13.78087
{txt}{space 2}_Iprovcode_45 {c |}{col 17}{res}{space 2}-.0643955{col 29}{space 2} 5.698158{col 40}{space 1}   -0.01{col 49}{space 3}0.991{col 57}{space 4} -11.2989{col 70}{space 3} 11.17011
{txt}{space 2}_Iprovcode_46 {c |}{col 17}{res}{space 2} 2.838575{col 29}{space 2} 5.576884{col 40}{space 1}    0.51{col 49}{space 3}0.611{col 57}{space 4} -8.15683{col 70}{space 3} 13.83398
{txt}{space 2}_Iprovcode_47 {c |}{col 17}{res}{space 2} 1.771269{col 29}{space 2} 5.218568{col 40}{space 1}    0.34{col 49}{space 3}0.735{col 57}{space 4}-8.517678{col 70}{space 3} 12.06022
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2}-1.632161{col 29}{space 2}  .381621{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-2.384566{col 70}{space 3}-.8797552
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-10.92543{col 29}{space 2} 10.20855{col 40}{space 1}   -1.07{col 49}{space 3}0.286{col 57}{space 4}-31.05264{col 70}{space 3} 9.201782
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         predict cooksd1, cooksd;
{txt}(47 missing values generated)

{com}.         gen N1 = e(N) if e(sample);
{txt}(143 missing values generated)

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: xtivreg2 difprice (chshsold = 
>     totspanishdeath) obyear1-obyear8
>     i.year 
>     distfuture if distfuture<=9 & cooksd1<4/N1, fe cluster(provcode)
>     first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1706
{col 21}_Iyear_1717 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1733
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694 _Iyear_1698
{col 16}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1706 _Iyear_1717
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1733 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     266
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 105.1605{col 29}{space 2}  10.1177{col 40}{space 1}   10.39{col 49}{space 3}0.000{col 57}{space 4}  85.1913{col 70}{space 3} 125.1297
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  108.03
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  108.03
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  108.03{col 28}  0.0000{col 37}{txt}|{col 42}{res}  133.02{col 51}  0.0000{col 60}{txt}|{col 65}{res}  108.03

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}15.99  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}  121.31
Kleibergen-Paap Wald rk F statistic{col 65}  108.03

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.04{col 61}{txt}P-val={res}0.0297
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.21{col 61}{txt}P-val={res}0.0127
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.10{col 61}{txt}P-val={res}0.0429

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       266
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     266
{txt}{col 55}F(  1,    45) = {res}    5.49
{txt}{col 55}Prob > F      = {res}  0.0236
{txt}Total (centered) SS     = {res}  1216500833{txt}{col 55}Centered R2   = {res}  0.0175
{txt}Total (uncentered) SS   = {res}  1216500833{txt}{col 55}Uncentered R2 = {res}  0.0175
{txt}Residual SS             = {res}  1195207408{txt}{col 55}Root MSE      = {res}    2331

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 204.1603{col 26}{space 2} 78.49158{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} 50.31966{col 67}{space 3}  358.001
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  15.992
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 121.313
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 108.029
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1705
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1706 _Iyear_1717 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1731 _Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

{com}.         sum difprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        266    907.0828    2929.298  -14719.95   16970.71
{txt}
{com}.         local mean = r(mean);
{txt}
{com}.         local fstat = e(widstat);
{txt}
{com}.         outreg2 using  TableA13.tex, replace dec(3) nocons nor noni 
>         adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}{stata `"shellout using `"TableA13.tex"'"':TableA13.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA13.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *Column 2
. 
. use newmembersdata, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: reg chshsold 
>     totspanishdeath
>     i.year i.provcode
>     distfuture if distfuture<=9;
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
note: _Iyear_1699 omitted because of collinearity
note: _Iyear_1729 omitted because of collinearity
note: _Iyear_1730 omitted because of collinearity
note: _Iyear_1731 omitted because of collinearity
note: _Iyear_1733 omitted because of collinearity
note: _Iprovcode_25 omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}       301
{txt}{hline 13}{c +}{hline 34}   F(95, 205)      = {res}    10.66
{txt}       Model {c |} {res} 67780.7314        95  713.481383   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 13717.4994       205  66.9146311   {txt}R-squared       ={res}    0.8317
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.7537
{txt}       Total {c |} {res} 81498.2307       300  271.660769   {txt}Root MSE        =   {res} 8.1801

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 143.7725{col 29}{space 2} 18.09225{col 40}{space 1}    7.95{col 49}{space 3}0.000{col 57}{space 4} 108.1018{col 70}{space 3} 179.4433
{txt}{space 4}_Iyear_1688 {c |}{col 17}{res}{space 2} 12.75889{col 29}{space 2} 9.839599{col 40}{space 1}    1.30{col 49}{space 3}0.196{col 57}{space 4}-6.640893{col 70}{space 3} 32.15868
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2} 11.06787{col 29}{space 2} 9.705667{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4} -8.06786{col 70}{space 3} 30.20359
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2}-41.12371{col 29}{space 2} 9.566831{col 40}{space 1}   -4.30{col 49}{space 3}0.000{col 57}{space 4} -59.9857{col 70}{space 3}-22.26171
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2}-36.39489{col 29}{space 2} 12.85437{col 40}{space 1}   -2.83{col 49}{space 3}0.005{col 57}{space 4}-61.73862{col 70}{space 3}-11.05116
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2}-26.08897{col 29}{space 2} 9.458896{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4}-44.73816{col 70}{space 3}-7.439774
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2} 10.42547{col 29}{space 2} 9.707564{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4}   -8.714{col 70}{space 3} 29.56494
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2} 14.21922{col 29}{space 2} 9.983999{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4}-5.465266{col 70}{space 3} 33.90371
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2} 14.32972{col 29}{space 2} 10.58726{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4}-6.544149{col 70}{space 3}  35.2036
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2} 16.98565{col 29}{space 2} 10.50265{col 40}{space 1}    1.62{col 49}{space 3}0.107{col 57}{space 4}-3.721421{col 70}{space 3} 37.69271
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2} 29.06793{col 29}{space 2} 10.45307{col 40}{space 1}    2.78{col 49}{space 3}0.006{col 57}{space 4} 8.458627{col 70}{space 3} 49.67723
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2} 33.85251{col 29}{space 2} 11.16628{col 40}{space 1}    3.03{col 49}{space 3}0.003{col 57}{space 4} 11.83704{col 70}{space 3} 55.86798
{txt}{space 4}_Iyear_1699 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}  27.3129{col 29}{space 2} 11.18125{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 5.267908{col 70}{space 3} 49.35789
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2} 5.452109{col 29}{space 2} 12.60569{col 40}{space 1}    0.43{col 49}{space 3}0.666{col 57}{space 4}-19.40132{col 70}{space 3} 30.30554
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2} 16.80575{col 29}{space 2} 10.75038{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-4.389737{col 70}{space 3} 38.00124
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2}   21.994{col 29}{space 2} 11.35028{col 40}{space 1}    1.94{col 49}{space 3}0.054{col 57}{space 4}-.3842559{col 70}{space 3} 44.37225
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2} 14.25874{col 29}{space 2} 12.84568{col 40}{space 1}    1.11{col 49}{space 3}0.268{col 57}{space 4}-11.06785{col 70}{space 3} 39.58533
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2}  20.7364{col 29}{space 2} 9.429817{col 40}{space 1}    2.20{col 49}{space 3}0.029{col 57}{space 4} 2.144535{col 70}{space 3} 39.32826
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2} 19.57866{col 29}{space 2} 10.17239{col 40}{space 1}    1.92{col 49}{space 3}0.056{col 57}{space 4}-.4772517{col 70}{space 3} 39.63457
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2} 19.32821{col 29}{space 2} 9.691765{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} .2198953{col 70}{space 3} 38.43653
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2}  19.8534{col 29}{space 2} 9.401557{col 40}{space 1}    2.11{col 49}{space 3}0.036{col 57}{space 4} 1.317259{col 70}{space 3} 38.38954
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2} 21.55775{col 29}{space 2} 9.400415{col 40}{space 1}    2.29{col 49}{space 3}0.023{col 57}{space 4} 3.023862{col 70}{space 3} 40.09164
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2} 9.842812{col 29}{space 2} 9.662709{col 40}{space 1}    1.02{col 49}{space 3}0.310{col 57}{space 4}-9.208219{col 70}{space 3} 28.89384
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2}  9.10676{col 29}{space 2} 11.14227{col 40}{space 1}    0.82{col 49}{space 3}0.415{col 57}{space 4}-12.86137{col 70}{space 3} 31.07489
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2}  10.3597{col 29}{space 2} 9.275624{col 40}{space 1}    1.12{col 49}{space 3}0.265{col 57}{space 4}-7.928151{col 70}{space 3} 28.64756
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2} 12.86652{col 29}{space 2} 9.913791{col 40}{space 1}    1.30{col 49}{space 3}0.196{col 57}{space 4}-6.679546{col 70}{space 3} 32.41258
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2} 9.856647{col 29}{space 2} 11.12251{col 40}{space 1}    0.89{col 49}{space 3}0.377{col 57}{space 4}-12.07254{col 70}{space 3} 31.78583
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2}-2.473837{col 29}{space 2} 9.784016{col 40}{space 1}   -0.25{col 49}{space 3}0.801{col 57}{space 4}-21.76404{col 70}{space 3} 16.81636
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2}   2.3793{col 29}{space 2} 9.524627{col 40}{space 1}    0.25{col 49}{space 3}0.803{col 57}{space 4}-16.39949{col 70}{space 3} 21.15809
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2}-10.53413{col 29}{space 2} 11.29971{col 40}{space 1}   -0.93{col 49}{space 3}0.352{col 57}{space 4}-32.81267{col 70}{space 3} 11.74441
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2}-42.43332{col 29}{space 2} 11.30754{col 40}{space 1}   -3.75{col 49}{space 3}0.000{col 57}{space 4}-64.72732{col 70}{space 3}-20.13933
{txt}{space 4}_Iyear_1729 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1730 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2} 5.171785{col 29}{space 2} 9.667805{col 40}{space 1}    0.53{col 49}{space 3}0.593{col 57}{space 4}-13.88929{col 70}{space 3} 24.23286
{txt}{space 4}_Iyear_1733 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2}-2.747555{col 29}{space 2} 9.567536{col 40}{space 1}   -0.29{col 49}{space 3}0.774{col 57}{space 4}-21.61094{col 70}{space 3} 16.11583
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2} 12.37833{col 29}{space 2} 9.897027{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4}-7.134681{col 70}{space 3} 31.89134
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2} 21.46837{col 29}{space 2} 11.08802{col 40}{space 1}    1.94{col 49}{space 3}0.054{col 57}{space 4}-.3928072{col 70}{space 3} 43.32954
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2} 26.44908{col 29}{space 2} 9.935912{col 40}{space 1}    2.66{col 49}{space 3}0.008{col 57}{space 4} 6.859398{col 70}{space 3} 46.03876
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2} 20.40944{col 29}{space 2} 9.542045{col 40}{space 1}    2.14{col 49}{space 3}0.034{col 57}{space 4} 1.596313{col 70}{space 3} 39.22257
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2} 16.48604{col 29}{space 2} 12.92139{col 40}{space 1}    1.28{col 49}{space 3}0.203{col 57}{space 4}-8.989825{col 70}{space 3} 41.96191
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2} 13.47761{col 29}{space 2} 9.839104{col 40}{space 1}    1.37{col 49}{space 3}0.172{col 57}{space 4}-5.921204{col 70}{space 3} 32.87642
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2}  20.6151{col 29}{space 2} 10.26182{col 40}{space 1}    2.01{col 49}{space 3}0.046{col 57}{space 4}  .382858{col 70}{space 3} 40.84734
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2} 14.48833{col 29}{space 2} 9.976747{col 40}{space 1}    1.45{col 49}{space 3}0.148{col 57}{space 4}-5.181855{col 70}{space 3} 34.15852
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2}-5.657774{col 29}{space 2} 10.25201{col 40}{space 1}   -0.55{col 49}{space 3}0.582{col 57}{space 4}-25.87067{col 70}{space 3} 14.55512
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2} 17.82044{col 29}{space 2} 10.11008{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-2.112626{col 70}{space 3} 37.75351
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2} 17.16516{col 29}{space 2} 10.34635{col 40}{space 1}    1.66{col 49}{space 3}0.099{col 57}{space 4} -3.23374{col 70}{space 3} 37.56406
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2}  14.8549{col 29}{space 2} 9.720164{col 40}{space 1}    1.53{col 49}{space 3}0.128{col 57}{space 4} -4.30941{col 70}{space 3} 34.01921
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2} 8.724321{col 29}{space 2} 9.792993{col 40}{space 1}    0.89{col 49}{space 3}0.374{col 57}{space 4}-10.58358{col 70}{space 3} 28.03222
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2} 14.09711{col 29}{space 2} 9.537476{col 40}{space 1}    1.48{col 49}{space 3}0.141{col 57}{space 4}-4.707014{col 70}{space 3} 32.90123
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2} 15.16178{col 29}{space 2} 9.386205{col 40}{space 1}    1.62{col 49}{space 3}0.108{col 57}{space 4}-3.344099{col 70}{space 3} 33.66765
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2} 12.01499{col 29}{space 2} 10.52946{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4}-8.744922{col 70}{space 3} 32.77491
{txt}{space 3}_Iprovcode_2 {c |}{col 17}{res}{space 2}  -.24152{col 29}{space 2} 5.622949{col 40}{space 1}   -0.04{col 49}{space 3}0.966{col 57}{space 4}-11.32775{col 70}{space 3} 10.84471
{txt}{space 3}_Iprovcode_3 {c |}{col 17}{res}{space 2} 1.794139{col 29}{space 2} 6.393565{col 40}{space 1}    0.28{col 49}{space 3}0.779{col 57}{space 4}-10.81144{col 70}{space 3} 14.39971
{txt}{space 3}_Iprovcode_4 {c |}{col 17}{res}{space 2}  -4.1906{col 29}{space 2} 5.846827{col 40}{space 1}   -0.72{col 49}{space 3}0.474{col 57}{space 4}-15.71822{col 70}{space 3} 7.337024
{txt}{space 3}_Iprovcode_5 {c |}{col 17}{res}{space 2}-2.939181{col 29}{space 2} 5.870745{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4}-14.51396{col 70}{space 3}   8.6356
{txt}{space 3}_Iprovcode_6 {c |}{col 17}{res}{space 2}-7.776392{col 29}{space 2} 7.003027{col 40}{space 1}   -1.11{col 49}{space 3}0.268{col 57}{space 4}-21.58358{col 70}{space 3}   6.0308
{txt}{space 3}_Iprovcode_7 {c |}{col 17}{res}{space 2} 6.694852{col 29}{space 2} 5.260687{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4}-3.677136{col 70}{space 3} 17.06684
{txt}{space 3}_Iprovcode_8 {c |}{col 17}{res}{space 2} -1.22741{col 29}{space 2} 6.123658{col 40}{space 1}   -0.20{col 49}{space 3}0.841{col 57}{space 4}-13.30084{col 70}{space 3} 10.84602
{txt}{space 3}_Iprovcode_9 {c |}{col 17}{res}{space 2}-5.890288{col 29}{space 2}  5.72963{col 40}{space 1}   -1.03{col 49}{space 3}0.305{col 57}{space 4}-17.18685{col 70}{space 3}  5.40627
{txt}{space 2}_Iprovcode_10 {c |}{col 17}{res}{space 2} .9135728{col 29}{space 2}  5.43061{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4}-9.793436{col 70}{space 3} 11.62058
{txt}{space 2}_Iprovcode_11 {c |}{col 17}{res}{space 2} -3.00246{col 29}{space 2} 6.050887{col 40}{space 1}   -0.50{col 49}{space 3}0.620{col 57}{space 4}-14.93241{col 70}{space 3}  8.92749
{txt}{space 2}_Iprovcode_12 {c |}{col 17}{res}{space 2}-2.746235{col 29}{space 2} 5.491854{col 40}{space 1}   -0.50{col 49}{space 3}0.618{col 57}{space 4}-13.57399{col 70}{space 3} 8.081525
{txt}{space 2}_Iprovcode_13 {c |}{col 17}{res}{space 2} -4.21439{col 29}{space 2} 5.604195{col 40}{space 1}   -0.75{col 49}{space 3}0.453{col 57}{space 4}-15.26364{col 70}{space 3}  6.83486
{txt}{space 2}_Iprovcode_14 {c |}{col 17}{res}{space 2} 3.796206{col 29}{space 2} 5.608201{col 40}{space 1}    0.68{col 49}{space 3}0.499{col 57}{space 4}-7.260943{col 70}{space 3} 14.85336
{txt}{space 2}_Iprovcode_15 {c |}{col 17}{res}{space 2}-.5757349{col 29}{space 2} 5.641835{col 40}{space 1}   -0.10{col 49}{space 3}0.919{col 57}{space 4} -11.6992{col 70}{space 3} 10.54773
{txt}{space 2}_Iprovcode_16 {c |}{col 17}{res}{space 2} 3.377955{col 29}{space 2} 6.121122{col 40}{space 1}    0.55{col 49}{space 3}0.582{col 57}{space 4} -8.69047{col 70}{space 3} 15.44638
{txt}{space 2}_Iprovcode_17 {c |}{col 17}{res}{space 2}  2.38344{col 29}{space 2} 5.305699{col 40}{space 1}    0.45{col 49}{space 3}0.654{col 57}{space 4}-8.077293{col 70}{space 3} 12.84417
{txt}{space 2}_Iprovcode_18 {c |}{col 17}{res}{space 2}-5.113687{col 29}{space 2} 5.569725{col 40}{space 1}   -0.92{col 49}{space 3}0.360{col 57}{space 4}-16.09498{col 70}{space 3} 5.867603
{txt}{space 2}_Iprovcode_19 {c |}{col 17}{res}{space 2} 2.652106{col 29}{space 2} 7.802963{col 40}{space 1}    0.34{col 49}{space 3}0.734{col 57}{space 4}-12.73224{col 70}{space 3} 18.03646
{txt}{space 2}_Iprovcode_20 {c |}{col 17}{res}{space 2}-.5984259{col 29}{space 2}   5.9472{col 40}{space 1}   -0.10{col 49}{space 3}0.920{col 57}{space 4}-12.32395{col 70}{space 3} 11.12709
{txt}{space 2}_Iprovcode_21 {c |}{col 17}{res}{space 2} .5846396{col 29}{space 2} 6.128327{col 40}{space 1}    0.10{col 49}{space 3}0.924{col 57}{space 4}-11.49799{col 70}{space 3} 12.66727
{txt}{space 2}_Iprovcode_22 {c |}{col 17}{res}{space 2} -.631871{col 29}{space 2} 5.905992{col 40}{space 1}   -0.11{col 49}{space 3}0.915{col 57}{space 4}-12.27615{col 70}{space 3}  11.0124
{txt}{space 2}_Iprovcode_23 {c |}{col 17}{res}{space 2}-.8967088{col 29}{space 2}  6.54751{col 40}{space 1}   -0.14{col 49}{space 3}0.891{col 57}{space 4} -13.8058{col 70}{space 3} 12.01238
{txt}{space 2}_Iprovcode_24 {c |}{col 17}{res}{space 2} 5.551847{col 29}{space 2}  5.42452{col 40}{space 1}    1.02{col 49}{space 3}0.307{col 57}{space 4}-5.143155{col 70}{space 3} 16.24685
{txt}{space 2}_Iprovcode_25 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 2}_Iprovcode_26 {c |}{col 17}{res}{space 2}-3.800347{col 29}{space 2} 5.527277{col 40}{space 1}   -0.69{col 49}{space 3}0.493{col 57}{space 4}-14.69795{col 70}{space 3} 7.097253
{txt}{space 2}_Iprovcode_27 {c |}{col 17}{res}{space 2}-4.470064{col 29}{space 2} 5.672995{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4}-15.65496{col 70}{space 3} 6.714833
{txt}{space 2}_Iprovcode_28 {c |}{col 17}{res}{space 2} 4.952574{col 29}{space 2} 5.383168{col 40}{space 1}    0.92{col 49}{space 3}0.359{col 57}{space 4}-5.660899{col 70}{space 3} 15.56605
{txt}{space 2}_Iprovcode_29 {c |}{col 17}{res}{space 2}-.3807348{col 29}{space 2} 6.233233{col 40}{space 1}   -0.06{col 49}{space 3}0.951{col 57}{space 4} -12.6702{col 70}{space 3} 11.90873
{txt}{space 2}_Iprovcode_30 {c |}{col 17}{res}{space 2}-1.608888{col 29}{space 2} 5.836163{col 40}{space 1}   -0.28{col 49}{space 3}0.783{col 57}{space 4}-13.11549{col 70}{space 3} 9.897711
{txt}{space 2}_Iprovcode_31 {c |}{col 17}{res}{space 2} 3.642417{col 29}{space 2}  6.04006{col 40}{space 1}    0.60{col 49}{space 3}0.547{col 57}{space 4}-8.266185{col 70}{space 3} 15.55102
{txt}{space 2}_Iprovcode_32 {c |}{col 17}{res}{space 2}-1.803592{col 29}{space 2} 5.604818{col 40}{space 1}   -0.32{col 49}{space 3}0.748{col 57}{space 4}-12.85407{col 70}{space 3} 9.246886
{txt}{space 2}_Iprovcode_33 {c |}{col 17}{res}{space 2} 3.326248{col 29}{space 2} 5.346019{col 40}{space 1}    0.62{col 49}{space 3}0.535{col 57}{space 4}-7.213981{col 70}{space 3} 13.86648
{txt}{space 2}_Iprovcode_34 {c |}{col 17}{res}{space 2}-2.955099{col 29}{space 2} 7.688693{col 40}{space 1}   -0.38{col 49}{space 3}0.701{col 57}{space 4}-18.11415{col 70}{space 3} 12.20395
{txt}{space 2}_Iprovcode_35 {c |}{col 17}{res}{space 2} 1.121765{col 29}{space 2} 5.603591{col 40}{space 1}    0.20{col 49}{space 3}0.842{col 57}{space 4}-9.926295{col 70}{space 3} 12.16983
{txt}{space 2}_Iprovcode_36 {c |}{col 17}{res}{space 2}-2.859048{col 29}{space 2} 5.547156{col 40}{space 1}   -0.52{col 49}{space 3}0.607{col 57}{space 4}-13.79584{col 70}{space 3} 8.077744
{txt}{space 2}_Iprovcode_37 {c |}{col 17}{res}{space 2} 8.242541{col 29}{space 2} 6.392997{col 40}{space 1}    1.29{col 49}{space 3}0.199{col 57}{space 4}-4.361914{col 70}{space 3}   20.847
{txt}{space 2}_Iprovcode_38 {c |}{col 17}{res}{space 2}-2.119837{col 29}{space 2} 5.829632{col 40}{space 1}   -0.36{col 49}{space 3}0.717{col 57}{space 4}-13.61356{col 70}{space 3} 9.373886
{txt}{space 2}_Iprovcode_39 {c |}{col 17}{res}{space 2} 3.568431{col 29}{space 2} 5.206328{col 40}{space 1}    0.69{col 49}{space 3}0.494{col 57}{space 4}-6.696384{col 70}{space 3} 13.83325
{txt}{space 2}_Iprovcode_40 {c |}{col 17}{res}{space 2}-.6464212{col 29}{space 2} 5.471167{col 40}{space 1}   -0.12{col 49}{space 3}0.906{col 57}{space 4}-11.43339{col 70}{space 3} 10.14055
{txt}{space 2}_Iprovcode_41 {c |}{col 17}{res}{space 2} -4.77398{col 29}{space 2} 7.767516{col 40}{space 1}   -0.61{col 49}{space 3}0.539{col 57}{space 4}-20.08844{col 70}{space 3} 10.54048
{txt}{space 2}_Iprovcode_42 {c |}{col 17}{res}{space 2} 2.236386{col 29}{space 2} 6.293485{col 40}{space 1}    0.36{col 49}{space 3}0.723{col 57}{space 4}-10.17187{col 70}{space 3} 14.64464
{txt}{space 2}_Iprovcode_43 {c |}{col 17}{res}{space 2} 5.642565{col 29}{space 2} 5.177587{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4}-4.565584{col 70}{space 3} 15.85071
{txt}{space 2}_Iprovcode_44 {c |}{col 17}{res}{space 2}  .389394{col 29}{space 2} 6.792177{col 40}{space 1}    0.06{col 49}{space 3}0.954{col 57}{space 4}-13.00209{col 70}{space 3} 13.78087
{txt}{space 2}_Iprovcode_45 {c |}{col 17}{res}{space 2}-.0643955{col 29}{space 2} 5.698158{col 40}{space 1}   -0.01{col 49}{space 3}0.991{col 57}{space 4} -11.2989{col 70}{space 3} 11.17011
{txt}{space 2}_Iprovcode_46 {c |}{col 17}{res}{space 2} 2.838575{col 29}{space 2} 5.576884{col 40}{space 1}    0.51{col 49}{space 3}0.611{col 57}{space 4} -8.15683{col 70}{space 3} 13.83398
{txt}{space 2}_Iprovcode_47 {c |}{col 17}{res}{space 2} 1.771269{col 29}{space 2} 5.218568{col 40}{space 1}    0.34{col 49}{space 3}0.735{col 57}{space 4}-8.517678{col 70}{space 3} 12.06022
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2}-1.632161{col 29}{space 2}  .381621{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-2.384566{col 70}{space 3}-.8797552
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-10.92543{col 29}{space 2} 10.20855{col 40}{space 1}   -1.07{col 49}{space 3}0.286{col 57}{space 4}-31.05264{col 70}{space 3} 9.201782
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         predict cooksd2, cooksd;
{txt}(47 missing values generated)

{com}.         gen N2 = e(N) if e(sample);
{txt}(143 missing values generated)

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: xtivreg2 lgprice (chshsold = 
>     totspanishdeath) obyear1-obyear8
>     i.year
>     distfuture if distfuture<=9 & cooksd2<4/N2, fe cluster(provcode)
>     first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1706
{col 21}_Iyear_1717 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1733
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694 _Iyear_1698
{col 16}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1706 _Iyear_1717
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1733 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     266
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 105.1605{col 29}{space 2}  10.1177{col 40}{space 1}   10.39{col 49}{space 3}0.000{col 57}{space 4}  85.1913{col 70}{space 3} 125.1297
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  108.03
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  108.03
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  108.03{col 28}  0.0000{col 37}{txt}|{col 42}{res}  133.02{col 51}  0.0000{col 60}{txt}|{col 65}{res}  108.03

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}15.99  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}  121.31
Kleibergen-Paap Wald rk F statistic{col 65}  108.03

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   6.57{col 61}{txt}P-val={res}0.0138
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   8.09{col 61}{txt}P-val={res}0.0044
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.68{col 61}{txt}P-val={res}0.0305

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       266
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     266
{txt}{col 55}F(  1,    45) = {res}    6.94
{txt}{col 55}Prob > F      = {res}  0.0115
{txt}Total (centered) SS     = {res}  24.0540924{txt}{col 55}Centered R2   = {res}  0.0383
{txt}Total (uncentered) SS   = {res}  24.0540924{txt}{col 55}Uncentered R2 = {res}  0.0383
{txt}Residual SS             = {res} 23.13359529{txt}{col 55}Root MSE      = {res}   .3243

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0207608{col 26}{space 2}  .007102{col 37}{space 1}    2.92{col 46}{space 3}0.003{col 54}{space 4} .0068411{col 67}{space 3} .0346806
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  15.992
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 121.313
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 108.029
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1705
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1706 _Iyear_1717 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1731 _Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

{com}.         sum lgprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        266    .1651247    .4248627  -1.252763   1.203973
{txt}
{com}.         local mean = r(mean);
{txt}
{com}.         local fstat = e(widstat);
{txt}
{com}.         outreg2 using  TableA13.tex, append dec(3) nocons nor noni 
>         adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}{stata `"shellout using `"TableA13.tex"'"':TableA13.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA13.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *Column 3
. 
. use newmembersdata, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. xi: reg chshspain 
>     totspanishdeath
>     i.year i.provcode
>     distfuture if distfuture<=9;
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
note: _Iyear_1699 omitted because of collinearity
note: _Iyear_1729 omitted because of collinearity
note: _Iyear_1730 omitted because of collinearity
note: _Iyear_1731 omitted because of collinearity
note: _Iyear_1733 omitted because of collinearity
note: _Iprovcode_25 omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}       301
{txt}{hline 13}{c +}{hline 34}   F(95, 205)      = {res}    11.31
{txt}       Model {c |} {res} 75431.1501        95  794.012107   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 14391.8257       205   70.204028   {txt}R-squared       ={res}    0.8398
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.7655
{txt}       Total {c |} {res} 89822.9759       300   299.40992   {txt}Root MSE        =   {res} 8.3788

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-142.1927{col 29}{space 2} 18.53161{col 40}{space 1}   -7.67{col 49}{space 3}0.000{col 57}{space 4}-178.7297{col 70}{space 3}-105.6557
{txt}{space 4}_Iyear_1688 {c |}{col 17}{res}{space 2}-6.772203{col 29}{space 2} 10.07855{col 40}{space 1}   -0.67{col 49}{space 3}0.502{col 57}{space 4} -26.6431{col 70}{space 3} 13.09869
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2} -5.13699{col 29}{space 2} 9.941361{col 40}{space 1}   -0.52{col 49}{space 3}0.606{col 57}{space 4}-24.73741{col 70}{space 3} 14.46343
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2} 47.07421{col 29}{space 2} 9.799154{col 40}{space 1}    4.80{col 49}{space 3}0.000{col 57}{space 4} 27.75417{col 70}{space 3} 66.39426
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2} 42.76438{col 29}{space 2} 13.16653{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4}  16.8052{col 70}{space 3} 68.72357
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2} 32.51993{col 29}{space 2} 9.688598{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 13.41786{col 70}{space 3} 51.62201
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2}-3.903278{col 29}{space 2} 9.943305{col 40}{space 1}   -0.39{col 49}{space 3}0.695{col 57}{space 4}-23.50753{col 70}{space 3} 15.70098
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2}-7.531491{col 29}{space 2} 10.22645{col 40}{space 1}   -0.74{col 49}{space 3}0.462{col 57}{space 4}  -27.694{col 70}{space 3} 12.63102
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2}-8.193166{col 29}{space 2} 10.84436{col 40}{space 1}   -0.76{col 49}{space 3}0.451{col 57}{space 4}-29.57394{col 70}{space 3} 13.18761
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2}-10.88972{col 29}{space 2}  10.7577{col 40}{space 1}   -1.01{col 49}{space 3}0.313{col 57}{space 4}-32.09964{col 70}{space 3}  10.3202
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2}-22.92088{col 29}{space 2} 10.70691{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}-44.03066{col 70}{space 3}-1.811095
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2}-26.62356{col 29}{space 2} 11.43744{col 40}{space 1}   -2.33{col 49}{space 3}0.021{col 57}{space 4}-49.17366{col 70}{space 3} -4.07346
{txt}{space 4}_Iyear_1699 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}-21.02688{col 29}{space 2} 11.45278{col 40}{space 1}   -1.84{col 49}{space 3}0.068{col 57}{space 4}-43.60722{col 70}{space 3} 1.553455
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2} 2.088457{col 29}{space 2} 12.91181{col 40}{space 1}    0.16{col 49}{space 3}0.872{col 57}{space 4}-23.36852{col 70}{space 3} 27.54543
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2} -10.3821{col 29}{space 2} 11.01145{col 40}{space 1}   -0.94{col 49}{space 3}0.347{col 57}{space 4} -32.0923{col 70}{space 3} 11.32811
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2}-15.33544{col 29}{space 2} 11.62591{col 40}{space 1}   -1.32{col 49}{space 3}0.189{col 57}{space 4}-38.25713{col 70}{space 3} 7.586253
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2}-6.425453{col 29}{space 2} 13.15763{col 40}{space 1}   -0.49{col 49}{space 3}0.626{col 57}{space 4}-32.36708{col 70}{space 3} 19.51617
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2}-14.74167{col 29}{space 2} 9.658813{col 40}{space 1}   -1.53{col 49}{space 3}0.128{col 57}{space 4}-33.78502{col 70}{space 3} 4.301679
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2}-4.382965{col 29}{space 2} 10.41941{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4}-24.92592{col 70}{space 3} 16.15999
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2}-4.362206{col 29}{space 2} 9.927122{col 40}{space 1}   -0.44{col 49}{space 3}0.661{col 57}{space 4}-23.93455{col 70}{space 3} 15.21014
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2}-6.919272{col 29}{space 2} 9.629866{col 40}{space 1}   -0.72{col 49}{space 3}0.473{col 57}{space 4}-25.90555{col 70}{space 3} 12.06701
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2}-12.77893{col 29}{space 2} 9.628696{col 40}{space 1}   -1.33{col 49}{space 3}0.186{col 57}{space 4} -31.7629{col 70}{space 3}  6.20504
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2}-3.394491{col 29}{space 2}  9.89736{col 40}{space 1}   -0.34{col 49}{space 3}0.732{col 57}{space 4}-22.90816{col 70}{space 3} 16.11918
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2}-2.644904{col 29}{space 2} 11.41285{col 40}{space 1}   -0.23{col 49}{space 3}0.817{col 57}{space 4}-25.14651{col 70}{space 3}  19.8567
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2}-2.967862{col 29}{space 2} 9.500875{col 40}{space 1}   -0.31{col 49}{space 3}0.755{col 57}{space 4}-21.69982{col 70}{space 3}  15.7641
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2}-6.038622{col 29}{space 2} 10.15454{col 40}{space 1}   -0.59{col 49}{space 3}0.553{col 57}{space 4}-26.05935{col 70}{space 3}  13.9821
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2}-2.816981{col 29}{space 2} 11.39262{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4} -25.2787{col 70}{space 3} 19.64474
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2} 10.22624{col 29}{space 2} 10.02161{col 40}{space 1}    1.02{col 49}{space 3}0.309{col 57}{space 4}-9.532401{col 70}{space 3} 29.98489
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2} 6.608564{col 29}{space 2} 9.755925{col 40}{space 1}    0.68{col 49}{space 3}0.499{col 57}{space 4}-12.62625{col 70}{space 3} 25.84338
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2} 18.05818{col 29}{space 2} 11.57411{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-4.761374{col 70}{space 3} 40.87774
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2} 55.76085{col 29}{space 2} 11.58214{col 40}{space 1}    4.81{col 49}{space 3}0.000{col 57}{space 4} 32.92547{col 70}{space 3} 78.59624
{txt}{space 4}_Iyear_1729 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1730 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2}-4.655933{col 29}{space 2}  9.90258{col 40}{space 1}   -0.47{col 49}{space 3}0.639{col 57}{space 4}-24.17989{col 70}{space 3} 14.86803
{txt}{space 4}_Iyear_1733 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2} 6.401431{col 29}{space 2} 9.799876{col 40}{space 1}    0.65{col 49}{space 3}0.514{col 57}{space 4}-12.92004{col 70}{space 3}  25.7229
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2}-6.555619{col 29}{space 2} 10.13737{col 40}{space 1}   -0.65{col 49}{space 3}0.519{col 57}{space 4}-26.54249{col 70}{space 3} 13.43125
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2} -16.7047{col 29}{space 2} 11.35728{col 40}{space 1}   -1.47{col 49}{space 3}0.143{col 57}{space 4}-39.09675{col 70}{space 3} 5.687361
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2}-20.92312{col 29}{space 2}  10.1772{col 40}{space 1}   -2.06{col 49}{space 3}0.041{col 57}{space 4}-40.98852{col 70}{space 3}-.8577195
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2} -22.3632{col 29}{space 2} 9.773766{col 40}{space 1}   -2.29{col 49}{space 3}0.023{col 57}{space 4} -41.6332{col 70}{space 3}-3.093213
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2}-17.44186{col 29}{space 2} 13.23518{col 40}{space 1}   -1.32{col 49}{space 3}0.189{col 57}{space 4}-43.53639{col 70}{space 3} 8.652662
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2}-13.09922{col 29}{space 2} 10.07804{col 40}{space 1}   -1.30{col 49}{space 3}0.195{col 57}{space 4}-32.96911{col 70}{space 3}  6.77068
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2}-17.15971{col 29}{space 2} 10.51102{col 40}{space 1}   -1.63{col 49}{space 3}0.104{col 57}{space 4}-37.88327{col 70}{space 3} 3.563858
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2}-10.91342{col 29}{space 2} 10.21902{col 40}{space 1}   -1.07{col 49}{space 3}0.287{col 57}{space 4}-31.06128{col 70}{space 3} 9.234443
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2} 8.309847{col 29}{space 2} 10.50097{col 40}{space 1}    0.79{col 49}{space 3}0.430{col 57}{space 4} -12.3939{col 70}{space 3}  29.0136
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2}-10.97553{col 29}{space 2} 10.35559{col 40}{space 1}   -1.06{col 49}{space 3}0.290{col 57}{space 4}-31.39266{col 70}{space 3} 9.441595
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2}-12.83068{col 29}{space 2}  10.5976{col 40}{space 1}   -1.21{col 49}{space 3}0.227{col 57}{space 4}-33.72495{col 70}{space 3} 8.063595
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2}-8.376009{col 29}{space 2}  9.95621{col 40}{space 1}   -0.84{col 49}{space 3}0.401{col 57}{space 4}-28.00571{col 70}{space 3} 11.25369
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2}-9.245534{col 29}{space 2} 10.03081{col 40}{space 1}   -0.92{col 49}{space 3}0.358{col 57}{space 4}-29.02231{col 70}{space 3} 10.53124
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2}-13.72937{col 29}{space 2} 9.769086{col 40}{space 1}   -1.41{col 49}{space 3}0.161{col 57}{space 4}-32.99013{col 70}{space 3} 5.531399
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2}-12.59916{col 29}{space 2} 9.614142{col 40}{space 1}   -1.31{col 49}{space 3}0.191{col 57}{space 4}-31.55443{col 70}{space 3} 6.356119
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2}-15.24795{col 29}{space 2} 10.78516{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4}-36.51201{col 70}{space 3} 6.016097
{txt}{space 3}_Iprovcode_2 {c |}{col 17}{res}{space 2}-2.008198{col 29}{space 2} 5.759498{col 40}{space 1}   -0.35{col 49}{space 3}0.728{col 57}{space 4}-13.36365{col 70}{space 3} 9.347248
{txt}{space 3}_Iprovcode_3 {c |}{col 17}{res}{space 2}-6.407765{col 29}{space 2} 6.548828{col 40}{space 1}   -0.98{col 49}{space 3}0.329{col 57}{space 4}-19.31946{col 70}{space 3} 6.503926
{txt}{space 3}_Iprovcode_4 {c |}{col 17}{res}{space 2} 2.960543{col 29}{space 2} 5.988812{col 40}{space 1}    0.49{col 49}{space 3}0.622{col 57}{space 4} -8.84702{col 70}{space 3} 14.76811
{txt}{space 3}_Iprovcode_5 {c |}{col 17}{res}{space 2} .9932493{col 29}{space 2} 6.013311{col 40}{space 1}    0.17{col 49}{space 3}0.869{col 57}{space 4}-10.86262{col 70}{space 3} 12.84911
{txt}{space 3}_Iprovcode_6 {c |}{col 17}{res}{space 2} 4.799754{col 29}{space 2}  7.17309{col 40}{space 1}    0.67{col 49}{space 3}0.504{col 57}{space 4}-9.342734{col 70}{space 3} 18.94224
{txt}{space 3}_Iprovcode_7 {c |}{col 17}{res}{space 2} -8.93677{col 29}{space 2} 5.388438{col 40}{space 1}   -1.66{col 49}{space 3}0.099{col 57}{space 4}-19.56063{col 70}{space 3} 1.687094
{txt}{space 3}_Iprovcode_8 {c |}{col 17}{res}{space 2}-.9611102{col 29}{space 2} 6.272366{col 40}{space 1}   -0.15{col 49}{space 3}0.878{col 57}{space 4}-13.32773{col 70}{space 3} 11.40551
{txt}{space 3}_Iprovcode_9 {c |}{col 17}{res}{space 2} 3.272393{col 29}{space 2} 5.868769{col 40}{space 1}    0.56{col 49}{space 3}0.578{col 57}{space 4}-8.298493{col 70}{space 3} 14.84328
{txt}{space 2}_Iprovcode_10 {c |}{col 17}{res}{space 2}-3.317864{col 29}{space 2} 5.562488{col 40}{space 1}   -0.60{col 49}{space 3}0.552{col 57}{space 4}-14.28488{col 70}{space 3} 7.649156
{txt}{space 2}_Iprovcode_11 {c |}{col 17}{res}{space 2}  .389897{col 29}{space 2} 6.197828{col 40}{space 1}    0.06{col 49}{space 3}0.950{col 57}{space 4}-11.82976{col 70}{space 3} 12.60956
{txt}{space 2}_Iprovcode_12 {c |}{col 17}{res}{space 2} 1.197953{col 29}{space 2}  5.62522{col 40}{space 1}    0.21{col 49}{space 3}0.832{col 57}{space 4} -9.89275{col 70}{space 3} 12.28866
{txt}{space 2}_Iprovcode_13 {c |}{col 17}{res}{space 2} 2.366575{col 29}{space 2} 5.740288{col 40}{space 1}    0.41{col 49}{space 3}0.681{col 57}{space 4}-8.950996{col 70}{space 3} 13.68415
{txt}{space 2}_Iprovcode_14 {c |}{col 17}{res}{space 2}-6.250457{col 29}{space 2} 5.744392{col 40}{space 1}   -1.09{col 49}{space 3}0.278{col 57}{space 4}-17.57612{col 70}{space 3} 5.075206
{txt}{space 2}_Iprovcode_15 {c |}{col 17}{res}{space 2}-2.643906{col 29}{space 2} 5.778842{col 40}{space 1}   -0.46{col 49}{space 3}0.648{col 57}{space 4}-14.03749{col 70}{space 3}  8.74968
{txt}{space 2}_Iprovcode_16 {c |}{col 17}{res}{space 2}-4.532444{col 29}{space 2} 6.269768{col 40}{space 1}   -0.72{col 49}{space 3}0.471{col 57}{space 4}-16.89394{col 70}{space 3} 7.829052
{txt}{space 2}_Iprovcode_17 {c |}{col 17}{res}{space 2} -3.71877{col 29}{space 2} 5.434543{col 40}{space 1}   -0.68{col 49}{space 3}0.495{col 57}{space 4}-14.43353{col 70}{space 3} 6.995994
{txt}{space 2}_Iprovcode_18 {c |}{col 17}{res}{space 2} 1.892314{col 29}{space 2} 5.704982{col 40}{space 1}    0.33{col 49}{space 3}0.740{col 57}{space 4}-9.355648{col 70}{space 3} 13.14028
{txt}{space 2}_Iprovcode_19 {c |}{col 17}{res}{space 2}-4.792433{col 29}{space 2} 7.992452{col 40}{space 1}   -0.60{col 49}{space 3}0.549{col 57}{space 4}-20.55038{col 70}{space 3} 10.96551
{txt}{space 2}_Iprovcode_20 {c |}{col 17}{res}{space 2}-1.652536{col 29}{space 2} 6.091623{col 40}{space 1}   -0.27{col 49}{space 3}0.786{col 57}{space 4} -13.6628{col 70}{space 3} 10.35773
{txt}{space 2}_Iprovcode_21 {c |}{col 17}{res}{space 2}-2.795154{col 29}{space 2} 6.277148{col 40}{space 1}   -0.45{col 49}{space 3}0.657{col 57}{space 4} -15.1712{col 70}{space 3} 9.580894
{txt}{space 2}_Iprovcode_22 {c |}{col 17}{res}{space 2}-.0453536{col 29}{space 2} 6.049414{col 40}{space 1}   -0.01{col 49}{space 3}0.994{col 57}{space 4} -11.9724{col 70}{space 3} 11.88169
{txt}{space 2}_Iprovcode_23 {c |}{col 17}{res}{space 2} -1.05201{col 29}{space 2} 6.706511{col 40}{space 1}   -0.16{col 49}{space 3}0.876{col 57}{space 4}-14.27459{col 70}{space 3} 12.17057
{txt}{space 2}_Iprovcode_24 {c |}{col 17}{res}{space 2}-7.495545{col 29}{space 2}  5.55625{col 40}{space 1}   -1.35{col 49}{space 3}0.179{col 57}{space 4}-18.45027{col 70}{space 3} 3.459176
{txt}{space 2}_Iprovcode_25 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 2}_Iprovcode_26 {c |}{col 17}{res}{space 2} 2.220197{col 29}{space 2} 5.661503{col 40}{space 1}    0.39{col 49}{space 3}0.695{col 57}{space 4}-8.942042{col 70}{space 3} 13.38244
{txt}{space 2}_Iprovcode_27 {c |}{col 17}{res}{space 2} 1.198856{col 29}{space 2} 5.810759{col 40}{space 1}    0.21{col 49}{space 3}0.837{col 57}{space 4}-10.25766{col 70}{space 3} 12.65537
{txt}{space 2}_Iprovcode_28 {c |}{col 17}{res}{space 2}-5.863998{col 29}{space 2} 5.513894{col 40}{space 1}   -1.06{col 49}{space 3}0.289{col 57}{space 4}-16.73521{col 70}{space 3} 5.007215
{txt}{space 2}_Iprovcode_29 {c |}{col 17}{res}{space 2} .0881651{col 29}{space 2} 6.384602{col 40}{space 1}    0.01{col 49}{space 3}0.989{col 57}{space 4}-12.49974{col 70}{space 3} 12.67607
{txt}{space 2}_Iprovcode_30 {c |}{col 17}{res}{space 2}-.4925463{col 29}{space 2} 5.977889{col 40}{space 1}   -0.08{col 49}{space 3}0.934{col 57}{space 4}-12.27857{col 70}{space 3} 11.29348
{txt}{space 2}_Iprovcode_31 {c |}{col 17}{res}{space 2}-6.249809{col 29}{space 2} 6.186738{col 40}{space 1}   -1.01{col 49}{space 3}0.314{col 57}{space 4} -18.4476{col 70}{space 3} 5.947984
{txt}{space 2}_Iprovcode_32 {c |}{col 17}{res}{space 2} .4140285{col 29}{space 2} 5.740926{col 40}{space 1}    0.07{col 49}{space 3}0.943{col 57}{space 4} -10.9048{col 70}{space 3} 11.73286
{txt}{space 2}_Iprovcode_33 {c |}{col 17}{res}{space 2}-5.366507{col 29}{space 2} 5.475842{col 40}{space 1}   -0.98{col 49}{space 3}0.328{col 57}{space 4} -16.1627{col 70}{space 3} 5.429683
{txt}{space 2}_Iprovcode_34 {c |}{col 17}{res}{space 2} -.857144{col 29}{space 2} 7.875406{col 40}{space 1}   -0.11{col 49}{space 3}0.913{col 57}{space 4}-16.38432{col 70}{space 3} 14.67003
{txt}{space 2}_Iprovcode_35 {c |}{col 17}{res}{space 2}-2.888607{col 29}{space 2}  5.73967{col 40}{space 1}   -0.50{col 49}{space 3}0.615{col 57}{space 4}-14.20496{col 70}{space 3} 8.427746
{txt}{space 2}_Iprovcode_36 {c |}{col 17}{res}{space 2} 2.416546{col 29}{space 2} 5.681864{col 40}{space 1}    0.43{col 49}{space 3}0.671{col 57}{space 4}-8.785838{col 70}{space 3} 13.61893
{txt}{space 2}_Iprovcode_37 {c |}{col 17}{res}{space 2}-8.281713{col 29}{space 2} 6.548246{col 40}{space 1}   -1.26{col 49}{space 3}0.207{col 57}{space 4}-21.19226{col 70}{space 3} 4.628831
{txt}{space 2}_Iprovcode_38 {c |}{col 17}{res}{space 2} .0095131{col 29}{space 2}   5.9712{col 40}{space 1}    0.00{col 49}{space 3}0.999{col 57}{space 4}-11.76333{col 70}{space 3} 11.78235
{txt}{space 2}_Iprovcode_39 {c |}{col 17}{res}{space 2}-5.504007{col 29}{space 2}  5.33276{col 40}{space 1}   -1.03{col 49}{space 3}0.303{col 57}{space 4} -16.0181{col 70}{space 3}  5.01008
{txt}{space 2}_Iprovcode_40 {c |}{col 17}{res}{space 2} -.415847{col 29}{space 2}  5.60403{col 40}{space 1}   -0.07{col 49}{space 3}0.941{col 57}{space 4}-11.46477{col 70}{space 3} 10.63308
{txt}{space 2}_Iprovcode_41 {c |}{col 17}{res}{space 2} 2.524499{col 29}{space 2} 7.956144{col 40}{space 1}    0.32{col 49}{space 3}0.751{col 57}{space 4}-13.16186{col 70}{space 3} 18.21086
{txt}{space 2}_Iprovcode_42 {c |}{col 17}{res}{space 2}-3.619604{col 29}{space 2} 6.446317{col 40}{space 1}   -0.56{col 49}{space 3}0.575{col 57}{space 4}-16.32919{col 70}{space 3} 9.089977
{txt}{space 2}_Iprovcode_43 {c |}{col 17}{res}{space 2}-7.419827{col 29}{space 2} 5.303321{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4}-17.87587{col 70}{space 3} 3.036218
{txt}{space 2}_Iprovcode_44 {c |}{col 17}{res}{space 2}-3.648522{col 29}{space 2}  6.95712{col 40}{space 1}   -0.52{col 49}{space 3}0.601{col 57}{space 4} -17.3652{col 70}{space 3} 10.06816
{txt}{space 2}_Iprovcode_45 {c |}{col 17}{res}{space 2}-2.012134{col 29}{space 2} 5.836533{col 40}{space 1}   -0.34{col 49}{space 3}0.731{col 57}{space 4}-13.51946{col 70}{space 3} 9.495195
{txt}{space 2}_Iprovcode_46 {c |}{col 17}{res}{space 2}-6.070713{col 29}{space 2} 5.712314{col 40}{space 1}   -1.06{col 49}{space 3}0.289{col 57}{space 4}-17.33313{col 70}{space 3} 5.191705
{txt}{space 2}_Iprovcode_47 {c |}{col 17}{res}{space 2} -2.72849{col 29}{space 2} 5.345297{col 40}{space 1}   -0.51{col 49}{space 3}0.610{col 57}{space 4} -13.2673{col 70}{space 3} 7.810316
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} 1.347243{col 29}{space 2} .3908884{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} .5765659{col 70}{space 3}  2.11792
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 7.336286{col 29}{space 2} 10.45645{col 40}{space 1}    0.70{col 49}{space 3}0.484{col 57}{space 4} -13.2797{col 70}{space 3} 27.95227
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         predict cooksd3, cooksd;
{txt}(47 missing values generated)

{com}.         gen N3 = e(N) if e(sample);
{txt}(143 missing values generated)

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: xtivreg2 difprice (chshspain = 
>     totspanishdeath) obyear1-obyear8
>     i.year
>     distfuture if distfuture<=9 & cooksd3<4/N3, fe cluster(provcode)
>     first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  1 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1717
{col 21}_Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       45{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       10
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694 _Iyear_1698
{col 16}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1717 _Iyear_1729
{col 16}_Iyear_1730 _Iyear_1731 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       45{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       10

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     262
{txt}Number of clusters (provcode) = {col 33}{res}    45
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-103.0137{col 29}{space 2} 10.98478{col 40}{space 1}   -9.38{col 49}{space 3}0.000{col 57}{space 4}-124.6969{col 70}{space 3}-81.33049
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    44) = {res}   87.94
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    44) = {res}   87.94
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    44{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    44{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   87.94{col 28}  0.0000{col 37}{txt}|{col 42}{res}  108.68{col 51}  0.0000{col 60}{txt}|{col 65}{res}   87.94

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}15.59  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}  123.18
Kleibergen-Paap Wald rk F statistic{col 65}   87.94

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}44{txt})={col 49}{res}   4.92{col 61}{txt}P-val={res}0.0317
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.08{col 61}{txt}P-val={res}0.0136
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.14{col 61}{txt}P-val={res}0.0418

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        45
{txt}Number of observations               N  = {res}       262
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    45{txt}{col 55}Number of obs = {res}     262
{txt}{col 55}F(  1,    44) = {res}    5.31
{txt}{col 55}Prob > F      = {res}  0.0260
{txt}Total (centered) SS     = {res}  1216313926{txt}{col 55}Centered R2   = {res}  0.0549
{txt}Total (uncentered) SS   = {res}  1216313926{txt}{col 55}Uncentered R2 = {res}  0.0549
{txt}Residual SS             = {res}  1149581174{txt}{col 55}Root MSE      = {res}    2302

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-222.2524{col 26}{space 2} 86.76193{col 37}{space 1}   -2.56{col 46}{space 3}0.010{col 54}{space 4}-392.3027{col 67}{space 3}-52.20218
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  15.589
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 123.183
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  87.944
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1717 _Iyear_1729 _Iyear_1730 _Iyear_1731
{col 23}_Iyear_1733 _Iyear_1739 _Iyear_1750 _Iyear_1751
{hline 78}

{com}.         sum difprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        263    859.5656    2905.719  -14719.95   16970.71
{txt}
{com}.         local mean = r(mean);
{txt}
{com}.         local fstat = e(widstat);
{txt}
{com}.         outreg2 using  TableA13.tex, append dec(3) nocons nor noni 
>         adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}{stata `"shellout using `"TableA13.tex"'"':TableA13.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA13.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *Column 4
. 
. use newmembersdata, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. xi: reg chshspain 
>     totspanishdeath
>     i.year i.provcode
>     distfuture if distfuture<=9;
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
note: _Iyear_1699 omitted because of collinearity
note: _Iyear_1729 omitted because of collinearity
note: _Iyear_1730 omitted because of collinearity
note: _Iyear_1731 omitted because of collinearity
note: _Iyear_1733 omitted because of collinearity
note: _Iprovcode_25 omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}       301
{txt}{hline 13}{c +}{hline 34}   F(95, 205)      = {res}    11.31
{txt}       Model {c |} {res} 75431.1501        95  794.012107   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 14391.8257       205   70.204028   {txt}R-squared       ={res}    0.8398
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.7655
{txt}       Total {c |} {res} 89822.9759       300   299.40992   {txt}Root MSE        =   {res} 8.3788

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-142.1927{col 29}{space 2} 18.53161{col 40}{space 1}   -7.67{col 49}{space 3}0.000{col 57}{space 4}-178.7297{col 70}{space 3}-105.6557
{txt}{space 4}_Iyear_1688 {c |}{col 17}{res}{space 2}-6.772203{col 29}{space 2} 10.07855{col 40}{space 1}   -0.67{col 49}{space 3}0.502{col 57}{space 4} -26.6431{col 70}{space 3} 13.09869
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2} -5.13699{col 29}{space 2} 9.941361{col 40}{space 1}   -0.52{col 49}{space 3}0.606{col 57}{space 4}-24.73741{col 70}{space 3} 14.46343
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2} 47.07421{col 29}{space 2} 9.799154{col 40}{space 1}    4.80{col 49}{space 3}0.000{col 57}{space 4} 27.75417{col 70}{space 3} 66.39426
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2} 42.76438{col 29}{space 2} 13.16653{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4}  16.8052{col 70}{space 3} 68.72357
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2} 32.51993{col 29}{space 2} 9.688598{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 13.41786{col 70}{space 3} 51.62201
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2}-3.903278{col 29}{space 2} 9.943305{col 40}{space 1}   -0.39{col 49}{space 3}0.695{col 57}{space 4}-23.50753{col 70}{space 3} 15.70098
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2}-7.531491{col 29}{space 2} 10.22645{col 40}{space 1}   -0.74{col 49}{space 3}0.462{col 57}{space 4}  -27.694{col 70}{space 3} 12.63102
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2}-8.193166{col 29}{space 2} 10.84436{col 40}{space 1}   -0.76{col 49}{space 3}0.451{col 57}{space 4}-29.57394{col 70}{space 3} 13.18761
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2}-10.88972{col 29}{space 2}  10.7577{col 40}{space 1}   -1.01{col 49}{space 3}0.313{col 57}{space 4}-32.09964{col 70}{space 3}  10.3202
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2}-22.92088{col 29}{space 2} 10.70691{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}-44.03066{col 70}{space 3}-1.811095
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2}-26.62356{col 29}{space 2} 11.43744{col 40}{space 1}   -2.33{col 49}{space 3}0.021{col 57}{space 4}-49.17366{col 70}{space 3} -4.07346
{txt}{space 4}_Iyear_1699 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}-21.02688{col 29}{space 2} 11.45278{col 40}{space 1}   -1.84{col 49}{space 3}0.068{col 57}{space 4}-43.60722{col 70}{space 3} 1.553455
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2} 2.088457{col 29}{space 2} 12.91181{col 40}{space 1}    0.16{col 49}{space 3}0.872{col 57}{space 4}-23.36852{col 70}{space 3} 27.54543
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2} -10.3821{col 29}{space 2} 11.01145{col 40}{space 1}   -0.94{col 49}{space 3}0.347{col 57}{space 4} -32.0923{col 70}{space 3} 11.32811
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2}-15.33544{col 29}{space 2} 11.62591{col 40}{space 1}   -1.32{col 49}{space 3}0.189{col 57}{space 4}-38.25713{col 70}{space 3} 7.586253
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2}-6.425453{col 29}{space 2} 13.15763{col 40}{space 1}   -0.49{col 49}{space 3}0.626{col 57}{space 4}-32.36708{col 70}{space 3} 19.51617
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2}-14.74167{col 29}{space 2} 9.658813{col 40}{space 1}   -1.53{col 49}{space 3}0.128{col 57}{space 4}-33.78502{col 70}{space 3} 4.301679
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2}-4.382965{col 29}{space 2} 10.41941{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4}-24.92592{col 70}{space 3} 16.15999
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2}-4.362206{col 29}{space 2} 9.927122{col 40}{space 1}   -0.44{col 49}{space 3}0.661{col 57}{space 4}-23.93455{col 70}{space 3} 15.21014
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2}-6.919272{col 29}{space 2} 9.629866{col 40}{space 1}   -0.72{col 49}{space 3}0.473{col 57}{space 4}-25.90555{col 70}{space 3} 12.06701
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2}-12.77893{col 29}{space 2} 9.628696{col 40}{space 1}   -1.33{col 49}{space 3}0.186{col 57}{space 4} -31.7629{col 70}{space 3}  6.20504
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2}-3.394491{col 29}{space 2}  9.89736{col 40}{space 1}   -0.34{col 49}{space 3}0.732{col 57}{space 4}-22.90816{col 70}{space 3} 16.11918
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2}-2.644904{col 29}{space 2} 11.41285{col 40}{space 1}   -0.23{col 49}{space 3}0.817{col 57}{space 4}-25.14651{col 70}{space 3}  19.8567
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2}-2.967862{col 29}{space 2} 9.500875{col 40}{space 1}   -0.31{col 49}{space 3}0.755{col 57}{space 4}-21.69982{col 70}{space 3}  15.7641
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2}-6.038622{col 29}{space 2} 10.15454{col 40}{space 1}   -0.59{col 49}{space 3}0.553{col 57}{space 4}-26.05935{col 70}{space 3}  13.9821
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2}-2.816981{col 29}{space 2} 11.39262{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4} -25.2787{col 70}{space 3} 19.64474
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2} 10.22624{col 29}{space 2} 10.02161{col 40}{space 1}    1.02{col 49}{space 3}0.309{col 57}{space 4}-9.532401{col 70}{space 3} 29.98489
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2} 6.608564{col 29}{space 2} 9.755925{col 40}{space 1}    0.68{col 49}{space 3}0.499{col 57}{space 4}-12.62625{col 70}{space 3} 25.84338
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2} 18.05818{col 29}{space 2} 11.57411{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-4.761374{col 70}{space 3} 40.87774
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2} 55.76085{col 29}{space 2} 11.58214{col 40}{space 1}    4.81{col 49}{space 3}0.000{col 57}{space 4} 32.92547{col 70}{space 3} 78.59624
{txt}{space 4}_Iyear_1729 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1730 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2}-4.655933{col 29}{space 2}  9.90258{col 40}{space 1}   -0.47{col 49}{space 3}0.639{col 57}{space 4}-24.17989{col 70}{space 3} 14.86803
{txt}{space 4}_Iyear_1733 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2} 6.401431{col 29}{space 2} 9.799876{col 40}{space 1}    0.65{col 49}{space 3}0.514{col 57}{space 4}-12.92004{col 70}{space 3}  25.7229
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2}-6.555619{col 29}{space 2} 10.13737{col 40}{space 1}   -0.65{col 49}{space 3}0.519{col 57}{space 4}-26.54249{col 70}{space 3} 13.43125
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2} -16.7047{col 29}{space 2} 11.35728{col 40}{space 1}   -1.47{col 49}{space 3}0.143{col 57}{space 4}-39.09675{col 70}{space 3} 5.687361
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2}-20.92312{col 29}{space 2}  10.1772{col 40}{space 1}   -2.06{col 49}{space 3}0.041{col 57}{space 4}-40.98852{col 70}{space 3}-.8577195
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2} -22.3632{col 29}{space 2} 9.773766{col 40}{space 1}   -2.29{col 49}{space 3}0.023{col 57}{space 4} -41.6332{col 70}{space 3}-3.093213
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2}-17.44186{col 29}{space 2} 13.23518{col 40}{space 1}   -1.32{col 49}{space 3}0.189{col 57}{space 4}-43.53639{col 70}{space 3} 8.652662
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2}-13.09922{col 29}{space 2} 10.07804{col 40}{space 1}   -1.30{col 49}{space 3}0.195{col 57}{space 4}-32.96911{col 70}{space 3}  6.77068
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2}-17.15971{col 29}{space 2} 10.51102{col 40}{space 1}   -1.63{col 49}{space 3}0.104{col 57}{space 4}-37.88327{col 70}{space 3} 3.563858
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2}-10.91342{col 29}{space 2} 10.21902{col 40}{space 1}   -1.07{col 49}{space 3}0.287{col 57}{space 4}-31.06128{col 70}{space 3} 9.234443
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2} 8.309847{col 29}{space 2} 10.50097{col 40}{space 1}    0.79{col 49}{space 3}0.430{col 57}{space 4} -12.3939{col 70}{space 3}  29.0136
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2}-10.97553{col 29}{space 2} 10.35559{col 40}{space 1}   -1.06{col 49}{space 3}0.290{col 57}{space 4}-31.39266{col 70}{space 3} 9.441595
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2}-12.83068{col 29}{space 2}  10.5976{col 40}{space 1}   -1.21{col 49}{space 3}0.227{col 57}{space 4}-33.72495{col 70}{space 3} 8.063595
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2}-8.376009{col 29}{space 2}  9.95621{col 40}{space 1}   -0.84{col 49}{space 3}0.401{col 57}{space 4}-28.00571{col 70}{space 3} 11.25369
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2}-9.245534{col 29}{space 2} 10.03081{col 40}{space 1}   -0.92{col 49}{space 3}0.358{col 57}{space 4}-29.02231{col 70}{space 3} 10.53124
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2}-13.72937{col 29}{space 2} 9.769086{col 40}{space 1}   -1.41{col 49}{space 3}0.161{col 57}{space 4}-32.99013{col 70}{space 3} 5.531399
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2}-12.59916{col 29}{space 2} 9.614142{col 40}{space 1}   -1.31{col 49}{space 3}0.191{col 57}{space 4}-31.55443{col 70}{space 3} 6.356119
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2}-15.24795{col 29}{space 2} 10.78516{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4}-36.51201{col 70}{space 3} 6.016097
{txt}{space 3}_Iprovcode_2 {c |}{col 17}{res}{space 2}-2.008198{col 29}{space 2} 5.759498{col 40}{space 1}   -0.35{col 49}{space 3}0.728{col 57}{space 4}-13.36365{col 70}{space 3} 9.347248
{txt}{space 3}_Iprovcode_3 {c |}{col 17}{res}{space 2}-6.407765{col 29}{space 2} 6.548828{col 40}{space 1}   -0.98{col 49}{space 3}0.329{col 57}{space 4}-19.31946{col 70}{space 3} 6.503926
{txt}{space 3}_Iprovcode_4 {c |}{col 17}{res}{space 2} 2.960543{col 29}{space 2} 5.988812{col 40}{space 1}    0.49{col 49}{space 3}0.622{col 57}{space 4} -8.84702{col 70}{space 3} 14.76811
{txt}{space 3}_Iprovcode_5 {c |}{col 17}{res}{space 2} .9932493{col 29}{space 2} 6.013311{col 40}{space 1}    0.17{col 49}{space 3}0.869{col 57}{space 4}-10.86262{col 70}{space 3} 12.84911
{txt}{space 3}_Iprovcode_6 {c |}{col 17}{res}{space 2} 4.799754{col 29}{space 2}  7.17309{col 40}{space 1}    0.67{col 49}{space 3}0.504{col 57}{space 4}-9.342734{col 70}{space 3} 18.94224
{txt}{space 3}_Iprovcode_7 {c |}{col 17}{res}{space 2} -8.93677{col 29}{space 2} 5.388438{col 40}{space 1}   -1.66{col 49}{space 3}0.099{col 57}{space 4}-19.56063{col 70}{space 3} 1.687094
{txt}{space 3}_Iprovcode_8 {c |}{col 17}{res}{space 2}-.9611102{col 29}{space 2} 6.272366{col 40}{space 1}   -0.15{col 49}{space 3}0.878{col 57}{space 4}-13.32773{col 70}{space 3} 11.40551
{txt}{space 3}_Iprovcode_9 {c |}{col 17}{res}{space 2} 3.272393{col 29}{space 2} 5.868769{col 40}{space 1}    0.56{col 49}{space 3}0.578{col 57}{space 4}-8.298493{col 70}{space 3} 14.84328
{txt}{space 2}_Iprovcode_10 {c |}{col 17}{res}{space 2}-3.317864{col 29}{space 2} 5.562488{col 40}{space 1}   -0.60{col 49}{space 3}0.552{col 57}{space 4}-14.28488{col 70}{space 3} 7.649156
{txt}{space 2}_Iprovcode_11 {c |}{col 17}{res}{space 2}  .389897{col 29}{space 2} 6.197828{col 40}{space 1}    0.06{col 49}{space 3}0.950{col 57}{space 4}-11.82976{col 70}{space 3} 12.60956
{txt}{space 2}_Iprovcode_12 {c |}{col 17}{res}{space 2} 1.197953{col 29}{space 2}  5.62522{col 40}{space 1}    0.21{col 49}{space 3}0.832{col 57}{space 4} -9.89275{col 70}{space 3} 12.28866
{txt}{space 2}_Iprovcode_13 {c |}{col 17}{res}{space 2} 2.366575{col 29}{space 2} 5.740288{col 40}{space 1}    0.41{col 49}{space 3}0.681{col 57}{space 4}-8.950996{col 70}{space 3} 13.68415
{txt}{space 2}_Iprovcode_14 {c |}{col 17}{res}{space 2}-6.250457{col 29}{space 2} 5.744392{col 40}{space 1}   -1.09{col 49}{space 3}0.278{col 57}{space 4}-17.57612{col 70}{space 3} 5.075206
{txt}{space 2}_Iprovcode_15 {c |}{col 17}{res}{space 2}-2.643906{col 29}{space 2} 5.778842{col 40}{space 1}   -0.46{col 49}{space 3}0.648{col 57}{space 4}-14.03749{col 70}{space 3}  8.74968
{txt}{space 2}_Iprovcode_16 {c |}{col 17}{res}{space 2}-4.532444{col 29}{space 2} 6.269768{col 40}{space 1}   -0.72{col 49}{space 3}0.471{col 57}{space 4}-16.89394{col 70}{space 3} 7.829052
{txt}{space 2}_Iprovcode_17 {c |}{col 17}{res}{space 2} -3.71877{col 29}{space 2} 5.434543{col 40}{space 1}   -0.68{col 49}{space 3}0.495{col 57}{space 4}-14.43353{col 70}{space 3} 6.995994
{txt}{space 2}_Iprovcode_18 {c |}{col 17}{res}{space 2} 1.892314{col 29}{space 2} 5.704982{col 40}{space 1}    0.33{col 49}{space 3}0.740{col 57}{space 4}-9.355648{col 70}{space 3} 13.14028
{txt}{space 2}_Iprovcode_19 {c |}{col 17}{res}{space 2}-4.792433{col 29}{space 2} 7.992452{col 40}{space 1}   -0.60{col 49}{space 3}0.549{col 57}{space 4}-20.55038{col 70}{space 3} 10.96551
{txt}{space 2}_Iprovcode_20 {c |}{col 17}{res}{space 2}-1.652536{col 29}{space 2} 6.091623{col 40}{space 1}   -0.27{col 49}{space 3}0.786{col 57}{space 4} -13.6628{col 70}{space 3} 10.35773
{txt}{space 2}_Iprovcode_21 {c |}{col 17}{res}{space 2}-2.795154{col 29}{space 2} 6.277148{col 40}{space 1}   -0.45{col 49}{space 3}0.657{col 57}{space 4} -15.1712{col 70}{space 3} 9.580894
{txt}{space 2}_Iprovcode_22 {c |}{col 17}{res}{space 2}-.0453536{col 29}{space 2} 6.049414{col 40}{space 1}   -0.01{col 49}{space 3}0.994{col 57}{space 4} -11.9724{col 70}{space 3} 11.88169
{txt}{space 2}_Iprovcode_23 {c |}{col 17}{res}{space 2} -1.05201{col 29}{space 2} 6.706511{col 40}{space 1}   -0.16{col 49}{space 3}0.876{col 57}{space 4}-14.27459{col 70}{space 3} 12.17057
{txt}{space 2}_Iprovcode_24 {c |}{col 17}{res}{space 2}-7.495545{col 29}{space 2}  5.55625{col 40}{space 1}   -1.35{col 49}{space 3}0.179{col 57}{space 4}-18.45027{col 70}{space 3} 3.459176
{txt}{space 2}_Iprovcode_25 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 2}_Iprovcode_26 {c |}{col 17}{res}{space 2} 2.220197{col 29}{space 2} 5.661503{col 40}{space 1}    0.39{col 49}{space 3}0.695{col 57}{space 4}-8.942042{col 70}{space 3} 13.38244
{txt}{space 2}_Iprovcode_27 {c |}{col 17}{res}{space 2} 1.198856{col 29}{space 2} 5.810759{col 40}{space 1}    0.21{col 49}{space 3}0.837{col 57}{space 4}-10.25766{col 70}{space 3} 12.65537
{txt}{space 2}_Iprovcode_28 {c |}{col 17}{res}{space 2}-5.863998{col 29}{space 2} 5.513894{col 40}{space 1}   -1.06{col 49}{space 3}0.289{col 57}{space 4}-16.73521{col 70}{space 3} 5.007215
{txt}{space 2}_Iprovcode_29 {c |}{col 17}{res}{space 2} .0881651{col 29}{space 2} 6.384602{col 40}{space 1}    0.01{col 49}{space 3}0.989{col 57}{space 4}-12.49974{col 70}{space 3} 12.67607
{txt}{space 2}_Iprovcode_30 {c |}{col 17}{res}{space 2}-.4925463{col 29}{space 2} 5.977889{col 40}{space 1}   -0.08{col 49}{space 3}0.934{col 57}{space 4}-12.27857{col 70}{space 3} 11.29348
{txt}{space 2}_Iprovcode_31 {c |}{col 17}{res}{space 2}-6.249809{col 29}{space 2} 6.186738{col 40}{space 1}   -1.01{col 49}{space 3}0.314{col 57}{space 4} -18.4476{col 70}{space 3} 5.947984
{txt}{space 2}_Iprovcode_32 {c |}{col 17}{res}{space 2} .4140285{col 29}{space 2} 5.740926{col 40}{space 1}    0.07{col 49}{space 3}0.943{col 57}{space 4} -10.9048{col 70}{space 3} 11.73286
{txt}{space 2}_Iprovcode_33 {c |}{col 17}{res}{space 2}-5.366507{col 29}{space 2} 5.475842{col 40}{space 1}   -0.98{col 49}{space 3}0.328{col 57}{space 4} -16.1627{col 70}{space 3} 5.429683
{txt}{space 2}_Iprovcode_34 {c |}{col 17}{res}{space 2} -.857144{col 29}{space 2} 7.875406{col 40}{space 1}   -0.11{col 49}{space 3}0.913{col 57}{space 4}-16.38432{col 70}{space 3} 14.67003
{txt}{space 2}_Iprovcode_35 {c |}{col 17}{res}{space 2}-2.888607{col 29}{space 2}  5.73967{col 40}{space 1}   -0.50{col 49}{space 3}0.615{col 57}{space 4}-14.20496{col 70}{space 3} 8.427746
{txt}{space 2}_Iprovcode_36 {c |}{col 17}{res}{space 2} 2.416546{col 29}{space 2} 5.681864{col 40}{space 1}    0.43{col 49}{space 3}0.671{col 57}{space 4}-8.785838{col 70}{space 3} 13.61893
{txt}{space 2}_Iprovcode_37 {c |}{col 17}{res}{space 2}-8.281713{col 29}{space 2} 6.548246{col 40}{space 1}   -1.26{col 49}{space 3}0.207{col 57}{space 4}-21.19226{col 70}{space 3} 4.628831
{txt}{space 2}_Iprovcode_38 {c |}{col 17}{res}{space 2} .0095131{col 29}{space 2}   5.9712{col 40}{space 1}    0.00{col 49}{space 3}0.999{col 57}{space 4}-11.76333{col 70}{space 3} 11.78235
{txt}{space 2}_Iprovcode_39 {c |}{col 17}{res}{space 2}-5.504007{col 29}{space 2}  5.33276{col 40}{space 1}   -1.03{col 49}{space 3}0.303{col 57}{space 4} -16.0181{col 70}{space 3}  5.01008
{txt}{space 2}_Iprovcode_40 {c |}{col 17}{res}{space 2} -.415847{col 29}{space 2}  5.60403{col 40}{space 1}   -0.07{col 49}{space 3}0.941{col 57}{space 4}-11.46477{col 70}{space 3} 10.63308
{txt}{space 2}_Iprovcode_41 {c |}{col 17}{res}{space 2} 2.524499{col 29}{space 2} 7.956144{col 40}{space 1}    0.32{col 49}{space 3}0.751{col 57}{space 4}-13.16186{col 70}{space 3} 18.21086
{txt}{space 2}_Iprovcode_42 {c |}{col 17}{res}{space 2}-3.619604{col 29}{space 2} 6.446317{col 40}{space 1}   -0.56{col 49}{space 3}0.575{col 57}{space 4}-16.32919{col 70}{space 3} 9.089977
{txt}{space 2}_Iprovcode_43 {c |}{col 17}{res}{space 2}-7.419827{col 29}{space 2} 5.303321{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4}-17.87587{col 70}{space 3} 3.036218
{txt}{space 2}_Iprovcode_44 {c |}{col 17}{res}{space 2}-3.648522{col 29}{space 2}  6.95712{col 40}{space 1}   -0.52{col 49}{space 3}0.601{col 57}{space 4} -17.3652{col 70}{space 3} 10.06816
{txt}{space 2}_Iprovcode_45 {c |}{col 17}{res}{space 2}-2.012134{col 29}{space 2} 5.836533{col 40}{space 1}   -0.34{col 49}{space 3}0.731{col 57}{space 4}-13.51946{col 70}{space 3} 9.495195
{txt}{space 2}_Iprovcode_46 {c |}{col 17}{res}{space 2}-6.070713{col 29}{space 2} 5.712314{col 40}{space 1}   -1.06{col 49}{space 3}0.289{col 57}{space 4}-17.33313{col 70}{space 3} 5.191705
{txt}{space 2}_Iprovcode_47 {c |}{col 17}{res}{space 2} -2.72849{col 29}{space 2} 5.345297{col 40}{space 1}   -0.51{col 49}{space 3}0.610{col 57}{space 4} -13.2673{col 70}{space 3} 7.810316
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2} 1.347243{col 29}{space 2} .3908884{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} .5765659{col 70}{space 3}  2.11792
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 7.336286{col 29}{space 2} 10.45645{col 40}{space 1}    0.70{col 49}{space 3}0.484{col 57}{space 4} -13.2797{col 70}{space 3} 27.95227
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         predict cooksd4, cooksd;
{txt}(47 missing values generated)

{com}.         gen N4 = e(N) if e(sample);
{txt}(143 missing values generated)

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: xtivreg2 lgprice (chshspain = 
>     totspanishdeath) obyear1-obyear8
>     i.year 
>     distfuture if distfuture<=9 & cooksd4<4/N4, fe cluster(provcode)
>     first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  1 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1717
{col 21}_Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       45{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       10
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694 _Iyear_1698
{col 16}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1717 _Iyear_1729
{col 16}_Iyear_1730 _Iyear_1731 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 16}_Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       45{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.8
{txt}{col 64}max{col 68}={col 70}{res}       10

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     262
{txt}Number of clusters (provcode) = {col 33}{res}    45
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-103.0137{col 29}{space 2} 10.98478{col 40}{space 1}   -9.38{col 49}{space 3}0.000{col 57}{space 4}-124.6969{col 70}{space 3}-81.33049
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    44) = {res}   87.94
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    44) = {res}   87.94
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    44{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    44{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   87.94{col 28}  0.0000{col 37}{txt}|{col 42}{res}  108.68{col 51}  0.0000{col 60}{txt}|{col 65}{res}   87.94

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}15.59  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}  123.18
Kleibergen-Paap Wald rk F statistic{col 65}   87.94

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}44{txt})={col 49}{res}   7.46{col 61}{txt}P-val={res}0.0090
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   9.22{col 61}{txt}P-val={res}0.0024
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.93{col 61}{txt}P-val={res}0.0264

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        45
{txt}Number of observations               N  = {res}       262
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        45
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    45{txt}{col 55}Number of obs = {res}     262
{txt}{col 55}F(  1,    44) = {res}    8.07
{txt}{col 55}Prob > F      = {res}  0.0068
{txt}Total (centered) SS     = {res} 24.07273818{txt}{col 55}Centered R2   = {res}  0.0581
{txt}Total (uncentered) SS   = {res} 24.07273818{txt}{col 55}Uncentered R2 = {res}  0.0581
{txt}Residual SS             = {res} 22.67343548{txt}{col 55}Root MSE      = {res}   .3232

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0229695{col 26}{space 2} .0072736{col 37}{space 1}   -3.16{col 46}{space 3}0.002{col 54}{space 4}-.0372255{col 67}{space 3}-.0087136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  15.589
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 123.183
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  87.944
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1691 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1717 _Iyear_1729 _Iyear_1730 _Iyear_1731
{col 23}_Iyear_1733 _Iyear_1739 _Iyear_1750 _Iyear_1751
{hline 78}

{com}.         sum lgprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        263    .1597096    .4226719  -1.252763   1.203973
{txt}
{com}.         local mean = r(mean);
{txt}
{com}.         local fstat = e(widstat);
{txt}
{com}.         outreg2 using  TableA13.tex, append dec(3) nocons nor noni 
>         adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}{stata `"shellout using `"TableA13.tex"'"':TableA13.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA13.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *Column 5
. 
. use composition.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: reg chshspain 
>     totspanishdeath
>     i.year i.provcode
>     distfuture if distfuture<=9;
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
note: _Iyear_1699 omitted because of collinearity
note: _Iyear_1729 omitted because of collinearity
note: _Iyear_1730 omitted because of collinearity
note: _Iyear_1731 omitted because of collinearity
note: _Iyear_1733 omitted because of collinearity
note: _Iprovcode_25 omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}       301
{txt}{hline 13}{c +}{hline 34}   F(95, 205)      = {res}    12.16
{txt}       Model {c |} {res} 22468.9022        95  236.514759   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 3987.23242       205  19.4499143   {txt}R-squared       ={res}    0.8493
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.7794
{txt}       Total {c |} {res} 26456.1346       300  88.1871153   {txt}Root MSE        =   {res} 4.4102

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-39.30241{col 29}{space 2} 10.41461{col 40}{space 1}   -3.77{col 49}{space 3}0.000{col 57}{space 4}-59.83589{col 70}{space 3}-18.76894
{txt}{space 4}_Iyear_1688 {c |}{col 17}{res}{space 2}-7.785401{col 29}{space 2} 5.304909{col 40}{space 1}   -1.47{col 49}{space 3}0.144{col 57}{space 4}-18.24458{col 70}{space 3} 2.673777
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2}-7.402112{col 29}{space 2} 5.232681{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4}-17.71888{col 70}{space 3}  2.91466
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2}-2.027101{col 29}{space 2} 5.157769{col 40}{space 1}   -0.39{col 49}{space 3}0.695{col 57}{space 4}-12.19618{col 70}{space 3} 8.141974
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2}-3.024649{col 29}{space 2} 6.930215{col 40}{space 1}   -0.44{col 49}{space 3}0.663{col 57}{space 4}-16.68829{col 70}{space 3} 10.63899
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2}-.6899628{col 29}{space 2} 5.099547{col 40}{space 1}   -0.14{col 49}{space 3}0.893{col 57}{space 4}-10.74425{col 70}{space 3} 9.364322
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2}-2.865068{col 29}{space 2} 5.233686{col 40}{space 1}   -0.55{col 49}{space 3}0.585{col 57}{space 4}-13.18382{col 70}{space 3} 7.453685
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2}-2.585528{col 29}{space 2} 5.382469{col 40}{space 1}   -0.48{col 49}{space 3}0.631{col 57}{space 4}-13.19762{col 70}{space 3} 8.026567
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2}-18.75605{col 29}{space 2} 5.708022{col 40}{space 1}   -3.29{col 49}{space 3}0.001{col 57}{space 4}-30.01001{col 70}{space 3}-7.502095
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2} -18.4089{col 29}{space 2} 5.662393{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4}-29.57289{col 70}{space 3}-7.244905
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2}-16.24751{col 29}{space 2} 5.635669{col 40}{space 1}   -2.88{col 49}{space 3}0.004{col 57}{space 4}-27.35881{col 70}{space 3}-5.136205
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2}-19.02621{col 29}{space 2} 6.019998{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4}-30.89525{col 70}{space 3}-7.157157
{txt}{space 4}_Iyear_1699 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}-21.68793{col 29}{space 2} 6.028097{col 40}{space 1}   -3.60{col 49}{space 3}0.000{col 57}{space 4}-33.57295{col 70}{space 3}-9.802915
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2} -14.3838{col 29}{space 2} 6.795952{col 40}{space 1}   -2.12{col 49}{space 3}0.036{col 57}{space 4}-27.78272{col 70}{space 3} -.984874
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2} 1.912823{col 29}{space 2} 5.795559{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4}-9.513722{col 70}{space 3} 13.33937
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2} .8634258{col 29}{space 2} 6.118439{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-11.19971{col 70}{space 3} 12.92656
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2} 11.97421{col 29}{space 2} 6.923272{col 40}{space 1}    1.73{col 49}{space 3}0.085{col 57}{space 4}-1.675737{col 70}{space 3} 25.62416
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2}-1.670769{col 29}{space 2} 5.083894{col 40}{space 1}   -0.33{col 49}{space 3}0.743{col 57}{space 4}-11.69419{col 70}{space 3} 8.352654
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2}-5.383579{col 29}{space 2} 5.484283{col 40}{space 1}   -0.98{col 49}{space 3}0.327{col 57}{space 4}-16.19641{col 70}{space 3} 5.429254
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2}-23.18225{col 29}{space 2} 5.225192{col 40}{space 1}   -4.44{col 49}{space 3}0.000{col 57}{space 4}-33.48426{col 70}{space 3}-12.88025
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2} -22.3571{col 29}{space 2} 5.068656{col 40}{space 1}   -4.41{col 49}{space 3}0.000{col 57}{space 4}-32.35048{col 70}{space 3}-12.36372
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2}-21.41103{col 29}{space 2} 5.068106{col 40}{space 1}   -4.22{col 49}{space 3}0.000{col 57}{space 4}-31.40333{col 70}{space 3}-11.41873
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2}-15.08667{col 29}{space 2} 5.209533{col 40}{space 1}   -2.90{col 49}{space 3}0.004{col 57}{space 4}-25.35781{col 70}{space 3}-4.815541
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2}-12.75829{col 29}{space 2} 6.007112{col 40}{space 1}   -2.12{col 49}{space 3}0.035{col 57}{space 4}-24.60194{col 70}{space 3}-.9146507
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2}-10.70924{col 29}{space 2} 5.000536{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}-20.56831{col 70}{space 3}-.8501643
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2}-7.101698{col 29}{space 2} 5.344908{col 40}{space 1}   -1.33{col 49}{space 3}0.185{col 57}{space 4}-17.63974{col 70}{space 3}  3.43634
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2}-6.568695{col 29}{space 2} 5.996532{col 40}{space 1}   -1.10{col 49}{space 3}0.275{col 57}{space 4}-18.39148{col 70}{space 3} 5.254089
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2}-2.785359{col 29}{space 2} 5.272497{col 40}{space 1}   -0.53{col 49}{space 3}0.598{col 57}{space 4}-13.18063{col 70}{space 3} 7.609915
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2}-.8993804{col 29}{space 2} 5.133587{col 40}{space 1}   -0.18{col 49}{space 3}0.861{col 57}{space 4}-11.02078{col 70}{space 3} 9.222018
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2} 21.41405{col 29}{space 2} 6.098222{col 40}{space 1}    3.51{col 49}{space 3}0.001{col 57}{space 4} 9.390769{col 70}{space 3} 33.43732
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2}  27.1745{col 29}{space 2}  6.05449{col 40}{space 1}    4.49{col 49}{space 3}0.000{col 57}{space 4} 15.23744{col 70}{space 3} 39.11155
{txt}{space 4}_Iyear_1729 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1730 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2} .6758479{col 29}{space 2}  5.21228{col 40}{space 1}    0.13{col 49}{space 3}0.897{col 57}{space 4}-9.600701{col 70}{space 3}  10.9524
{txt}{space 4}_Iyear_1733 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2}-.8713794{col 29}{space 2} 5.142583{col 40}{space 1}   -0.17{col 49}{space 3}0.866{col 57}{space 4}-11.01051{col 70}{space 3} 9.267755
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2}-8.979344{col 29}{space 2} 5.321313{col 40}{space 1}   -1.69{col 49}{space 3}0.093{col 57}{space 4}-19.47086{col 70}{space 3} 1.512174
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2}-8.230341{col 29}{space 2} 5.975074{col 40}{space 1}   -1.38{col 49}{space 3}0.170{col 57}{space 4}-20.01082{col 70}{space 3} 3.550136
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2}-10.51991{col 29}{space 2} 5.356688{col 40}{space 1}   -1.96{col 49}{space 3}0.051{col 57}{space 4}-21.08117{col 70}{space 3} .0413591
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2}-8.422988{col 29}{space 2} 5.144646{col 40}{space 1}   -1.64{col 49}{space 3}0.103{col 57}{space 4}-18.56619{col 70}{space 3} 1.720214
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2}-12.14304{col 29}{space 2} 6.963413{col 40}{space 1}   -1.74{col 49}{space 3}0.083{col 57}{space 4}-25.87213{col 70}{space 3} 1.586048
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2}-14.12931{col 29}{space 2} 5.305463{col 40}{space 1}   -2.66{col 49}{space 3}0.008{col 57}{space 4}-24.58958{col 70}{space 3}-3.669041
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2} -9.70919{col 29}{space 2} 5.533192{col 40}{space 1}   -1.75{col 49}{space 3}0.081{col 57}{space 4}-20.61845{col 70}{space 3} 1.200072
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2}-11.34389{col 29}{space 2} 5.378833{col 40}{space 1}   -2.11{col 49}{space 3}0.036{col 57}{space 4}-21.94881{col 70}{space 3}-.7389624
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2}-1.005459{col 29}{space 2} 5.531669{col 40}{space 1}   -0.18{col 49}{space 3}0.856{col 57}{space 4}-11.91172{col 70}{space 3} 9.900799
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2}-20.55698{col 29}{space 2} 5.452882{col 40}{space 1}   -3.77{col 49}{space 3}0.000{col 57}{space 4} -31.3079{col 70}{space 3}-9.806058
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2}-17.69411{col 29}{space 2} 5.581662{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4}-28.69893{col 70}{space 3}-6.689283
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2}-13.01252{col 29}{space 2} 5.241433{col 40}{space 1}   -2.48{col 49}{space 3}0.014{col 57}{space 4}-23.34654{col 70}{space 3}-2.678488
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2}-8.286425{col 29}{space 2} 5.280575{col 40}{space 1}   -1.57{col 49}{space 3}0.118{col 57}{space 4}-18.69762{col 70}{space 3} 2.124774
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2}-6.882444{col 29}{space 2} 5.142613{col 40}{space 1}   -1.34{col 49}{space 3}0.182{col 57}{space 4}-17.02164{col 70}{space 3} 3.256749
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2}-18.56352{col 29}{space 2} 5.060529{col 40}{space 1}   -3.67{col 49}{space 3}0.000{col 57}{space 4}-28.54087{col 70}{space 3}-8.586159
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2}-19.01038{col 29}{space 2} 5.677438{col 40}{space 1}   -3.35{col 49}{space 3}0.001{col 57}{space 4}-30.20404{col 70}{space 3}-7.816728
{txt}{space 3}_Iprovcode_2 {c |}{col 17}{res}{space 2} 2.494798{col 29}{space 2} 3.030717{col 40}{space 1}    0.82{col 49}{space 3}0.411{col 57}{space 4}-3.480575{col 70}{space 3} 8.470171
{txt}{space 3}_Iprovcode_3 {c |}{col 17}{res}{space 2} 2.819647{col 29}{space 2} 3.446334{col 40}{space 1}    0.82{col 49}{space 3}0.414{col 57}{space 4}-3.975158{col 70}{space 3} 9.614452
{txt}{space 3}_Iprovcode_4 {c |}{col 17}{res}{space 2} 6.166084{col 29}{space 2} 3.152053{col 40}{space 1}    1.96{col 49}{space 3}0.052{col 57}{space 4}-.0485153{col 70}{space 3} 12.38068
{txt}{space 3}_Iprovcode_5 {c |}{col 17}{res}{space 2} 6.136823{col 29}{space 2} 3.165066{col 40}{space 1}    1.94{col 49}{space 3}0.054{col 57}{space 4}-.1034325{col 70}{space 3} 12.37708
{txt}{space 3}_Iprovcode_6 {c |}{col 17}{res}{space 2} 6.046458{col 29}{space 2} 3.775298{col 40}{space 1}    1.60{col 49}{space 3}0.111{col 57}{space 4}-1.396933{col 70}{space 3} 13.48985
{txt}{space 3}_Iprovcode_7 {c |}{col 17}{res}{space 2} 6.248223{col 29}{space 2} 2.836058{col 40}{space 1}    2.20{col 49}{space 3}0.029{col 57}{space 4} .6566409{col 70}{space 3}  11.8398
{txt}{space 3}_Iprovcode_8 {c |}{col 17}{res}{space 2} 5.618011{col 29}{space 2} 3.301419{col 40}{space 1}    1.70{col 49}{space 3}0.090{col 57}{space 4}-.8910784{col 70}{space 3}  12.1271
{txt}{space 3}_Iprovcode_9 {c |}{col 17}{res}{space 2} 7.240594{col 29}{space 2}  3.08929{col 40}{space 1}    2.34{col 49}{space 3}0.020{col 57}{space 4} 1.149738{col 70}{space 3} 13.33145
{txt}{space 2}_Iprovcode_10 {c |}{col 17}{res}{space 2} 5.354118{col 29}{space 2} 2.927798{col 40}{space 1}    1.83{col 49}{space 3}0.069{col 57}{space 4}-.4183399{col 70}{space 3} 11.12658
{txt}{space 2}_Iprovcode_11 {c |}{col 17}{res}{space 2} 6.589818{col 29}{space 2} 3.262168{col 40}{space 1}    2.02{col 49}{space 3}0.045{col 57}{space 4} .1581165{col 70}{space 3} 13.02152
{txt}{space 2}_Iprovcode_12 {c |}{col 17}{res}{space 2} 7.739126{col 29}{space 2} 2.960762{col 40}{space 1}    2.61{col 49}{space 3}0.010{col 57}{space 4} 1.901678{col 70}{space 3} 13.57657
{txt}{space 2}_Iprovcode_13 {c |}{col 17}{res}{space 2} 8.061767{col 29}{space 2} 3.021389{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} 2.104786{col 70}{space 3} 14.01875
{txt}{space 2}_Iprovcode_14 {c |}{col 17}{res}{space 2} 4.068597{col 29}{space 2} 3.023588{col 40}{space 1}    1.35{col 49}{space 3}0.180{col 57}{space 4}-1.892719{col 70}{space 3} 10.02991
{txt}{space 2}_Iprovcode_15 {c |}{col 17}{res}{space 2} 6.030966{col 29}{space 2} 3.041614{col 40}{space 1}    1.98{col 49}{space 3}0.049{col 57}{space 4} .0341096{col 70}{space 3} 12.02782
{txt}{space 2}_Iprovcode_16 {c |}{col 17}{res}{space 2} 7.226322{col 29}{space 2} 3.300091{col 40}{space 1}    2.19{col 49}{space 3}0.030{col 57}{space 4}  .719851{col 70}{space 3} 13.73279
{txt}{space 2}_Iprovcode_17 {c |}{col 17}{res}{space 2} 3.635063{col 29}{space 2} 2.860244{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4}-2.004204{col 70}{space 3}  9.27433
{txt}{space 2}_Iprovcode_18 {c |}{col 17}{res}{space 2} 4.570961{col 29}{space 2} 3.002799{col 40}{space 1}    1.52{col 49}{space 3}0.129{col 57}{space 4}-1.349369{col 70}{space 3} 10.49129
{txt}{space 2}_Iprovcode_19 {c |}{col 17}{res}{space 2} 3.810849{col 29}{space 2} 4.208663{col 40}{space 1}    0.91{col 49}{space 3}0.366{col 57}{space 4}-4.486965{col 70}{space 3} 12.10866
{txt}{space 2}_Iprovcode_20 {c |}{col 17}{res}{space 2} 7.838123{col 29}{space 2} 3.206343{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 1.516485{col 70}{space 3} 14.15976
{txt}{space 2}_Iprovcode_21 {c |}{col 17}{res}{space 2} 6.711663{col 29}{space 2} 3.303975{col 40}{space 1}    2.03{col 49}{space 3}0.044{col 57}{space 4} .1975341{col 70}{space 3} 13.22579
{txt}{space 2}_Iprovcode_22 {c |}{col 17}{res}{space 2} 3.448392{col 29}{space 2} 3.184106{col 40}{space 1}    1.08{col 49}{space 3}0.280{col 57}{space 4}-2.829402{col 70}{space 3} 9.726186
{txt}{space 2}_Iprovcode_23 {c |}{col 17}{res}{space 2} 4.152138{col 29}{space 2} 3.529998{col 40}{space 1}    1.18{col 49}{space 3}0.241{col 57}{space 4}-2.807618{col 70}{space 3} 11.11189
{txt}{space 2}_Iprovcode_24 {c |}{col 17}{res}{space 2} 5.160056{col 29}{space 2} 2.924435{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-.6057703{col 70}{space 3} 10.92588
{txt}{space 2}_Iprovcode_25 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 2}_Iprovcode_26 {c |}{col 17}{res}{space 2} 8.554772{col 29}{space 2} 2.979803{col 40}{space 1}    2.87{col 49}{space 3}0.005{col 57}{space 4} 2.679781{col 70}{space 3} 14.42976
{txt}{space 2}_Iprovcode_27 {c |}{col 17}{res}{space 2} 5.608935{col 29}{space 2} 3.058579{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}  -.42137{col 70}{space 3} 11.63924
{txt}{space 2}_Iprovcode_28 {c |}{col 17}{res}{space 2} 3.418577{col 29}{space 2} 2.902302{col 40}{space 1}    1.18{col 49}{space 3}0.240{col 57}{space 4}-2.303613{col 70}{space 3} 9.140766
{txt}{space 2}_Iprovcode_29 {c |}{col 17}{res}{space 2} 5.482828{col 29}{space 2} 3.360183{col 40}{space 1}    1.63{col 49}{space 3}0.104{col 57}{space 4} -1.14212{col 70}{space 3} 12.10778
{txt}{space 2}_Iprovcode_30 {c |}{col 17}{res}{space 2} 7.058625{col 29}{space 2} 3.146249{col 40}{space 1}    2.24{col 49}{space 3}0.026{col 57}{space 4} .8554696{col 70}{space 3} 13.26178
{txt}{space 2}_Iprovcode_31 {c |}{col 17}{res}{space 2} 6.347614{col 29}{space 2} 3.256276{col 40}{space 1}    1.95{col 49}{space 3}0.053{col 57}{space 4}-.0724719{col 70}{space 3}  12.7677
{txt}{space 2}_Iprovcode_32 {c |}{col 17}{res}{space 2} 4.830235{col 29}{space 2} 3.021658{col 40}{space 1}    1.60{col 49}{space 3}0.111{col 57}{space 4}-1.127276{col 70}{space 3} 10.78775
{txt}{space 2}_Iprovcode_33 {c |}{col 17}{res}{space 2} 5.828895{col 29}{space 2} 2.882025{col 40}{space 1}    2.02{col 49}{space 3}0.044{col 57}{space 4} .1466839{col 70}{space 3} 11.51111
{txt}{space 2}_Iprovcode_34 {c |}{col 17}{res}{space 2} 3.653465{col 29}{space 2} 4.145197{col 40}{space 1}    0.88{col 49}{space 3}0.379{col 57}{space 4} -4.51922{col 70}{space 3} 11.82615
{txt}{space 2}_Iprovcode_35 {c |}{col 17}{res}{space 2} 7.380272{col 29}{space 2} 3.020964{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 1.424128{col 70}{space 3} 13.33642
{txt}{space 2}_Iprovcode_36 {c |}{col 17}{res}{space 2} 3.601208{col 29}{space 2} 2.990121{col 40}{space 1}    1.20{col 49}{space 3}0.230{col 57}{space 4}-2.294125{col 70}{space 3} 9.496542
{txt}{space 2}_Iprovcode_37 {c |}{col 17}{res}{space 2} 6.399649{col 29}{space 2} 3.446482{col 40}{space 1}    1.86{col 49}{space 3}0.065{col 57}{space 4}-.3954461{col 70}{space 3} 13.19474
{txt}{space 2}_Iprovcode_38 {c |}{col 17}{res}{space 2} 7.005065{col 29}{space 2} 3.142948{col 40}{space 1}    2.23{col 49}{space 3}0.027{col 57}{space 4} .8084171{col 70}{space 3} 13.20171
{txt}{space 2}_Iprovcode_39 {c |}{col 17}{res}{space 2} 6.419356{col 29}{space 2} 2.806612{col 40}{space 1}    2.29{col 49}{space 3}0.023{col 57}{space 4} .8858301{col 70}{space 3} 11.95288
{txt}{space 2}_Iprovcode_40 {c |}{col 17}{res}{space 2} 5.212438{col 29}{space 2} 2.949988{col 40}{space 1}    1.77{col 49}{space 3}0.079{col 57}{space 4}-.6037696{col 70}{space 3} 11.02864
{txt}{space 2}_Iprovcode_41 {c |}{col 17}{res}{space 2} 8.675821{col 29}{space 2} 4.187741{col 40}{space 1}    2.07{col 49}{space 3}0.040{col 57}{space 4} .4192567{col 70}{space 3} 16.93239
{txt}{space 2}_Iprovcode_42 {c |}{col 17}{res}{space 2} 4.420463{col 29}{space 2} 3.392814{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4} -2.26882{col 70}{space 3} 11.10975
{txt}{space 2}_Iprovcode_43 {c |}{col 17}{res}{space 2} 5.525493{col 29}{space 2} 2.791595{col 40}{space 1}    1.98{col 49}{space 3}0.049{col 57}{space 4}  .021574{col 70}{space 3} 11.02941
{txt}{space 2}_Iprovcode_44 {c |}{col 17}{res}{space 2} 5.154895{col 29}{space 2} 3.661615{col 40}{space 1}    1.41{col 49}{space 3}0.161{col 57}{space 4}-2.064357{col 70}{space 3} 12.37415
{txt}{space 2}_Iprovcode_45 {c |}{col 17}{res}{space 2} 4.792783{col 29}{space 2} 3.072525{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-1.265017{col 70}{space 3} 10.85058
{txt}{space 2}_Iprovcode_46 {c |}{col 17}{res}{space 2} 3.163927{col 29}{space 2} 3.006409{col 40}{space 1}    1.05{col 49}{space 3}0.294{col 57}{space 4}-2.763519{col 70}{space 3} 9.091373
{txt}{space 2}_Iprovcode_47 {c |}{col 17}{res}{space 2} 3.777512{col 29}{space 2} 2.813435{col 40}{space 1}    1.34{col 49}{space 3}0.181{col 57}{space 4}-1.769467{col 70}{space 3}  9.32449
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2}-.7558384{col 29}{space 2} .2048803{col 40}{space 1}   -3.69{col 49}{space 3}0.000{col 57}{space 4}-1.159781{col 70}{space 3}-.3518956
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 2.586568{col 29}{space 2} 5.503739{col 40}{space 1}    0.47{col 49}{space 3}0.639{col 57}{space 4}-8.264624{col 70}{space 3} 13.43776
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         predict cooksd5, cooksd;
{txt}(47 missing values generated)

{com}.         gen N5 = e(N) if e(sample);
{txt}(143 missing values generated)

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: xtivreg2 difprice (chshspain = 
>     totspanishdeath) obyear1-obyear8
>     i.year
>     distfuture if distfuture<=9 & cooksd5<4/N5, fe cluster(provcode)
>     first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  1 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1691 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1706 _Iyear_1707 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.1
{txt}{col 64}max{col 68}={col 70}{res}       12
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1691 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.1
{txt}{col 64}max{col 68}={col 70}{res}       12

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     267
{txt}Number of clusters (provcode) = {col 33}{res}    44
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-56.27074{col 29}{space 2} 7.843642{col 40}{space 1}   -7.17{col 49}{space 3}0.000{col 57}{space 4}-71.75229{col 70}{space 3}-40.78918
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    43) = {res}   51.47
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    43) = {res}   51.47
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    43{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    43{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   51.47{col 28}  0.0000{col 37}{txt}|{col 42}{res}   64.56{col 51}  0.0000{col 60}{txt}|{col 65}{res}   51.47

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}12.64  {col 61}{txt}P-val={res}0.0004

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   64.88
Kleibergen-Paap Wald rk F statistic{col 65}   51.47

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}43{txt})={col 49}{res}   7.13{col 61}{txt}P-val={res}0.0107
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   8.94{col 61}{txt}P-val={res}0.0028
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.16{col 61}{txt}P-val={res}0.0231

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        44
{txt}Number of observations               N  = {res}       267
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        49
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    44{txt}{col 55}Number of obs = {res}     267
{txt}{col 55}F(  1,    43) = {res}    7.31
{txt}{col 55}Prob > F      = {res}  0.0098
{txt}Total (centered) SS     = {res}  1216467249{txt}{col 55}Centered R2   = {res} -0.0465
{txt}Total (uncentered) SS   = {res}  1216467249{txt}{col 55}Uncentered R2 = {res} -0.0465
{txt}Residual SS             = {res}  1272996044{txt}{col 55}Root MSE      = {res}    2389

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-450.7427{col 26}{space 2} 148.8466{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4}-742.4767{col 67}{space 3}-159.0088
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  12.644
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0004
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  64.885
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  51.467
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1705 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1691 _Iyear_1699 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1706 _Iyear_1707 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

{com}.         sum difprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        268    860.8814    2901.752  -14719.95   16970.71
{txt}
{com}.         local mean = r(mean);
{txt}
{com}.         local fstat = e(widstat);
{txt}
{com}.         outreg2 using  TableA13.tex, append dec(3) nocons nor noni 
>         adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}{stata `"shellout using `"TableA13.tex"'"':TableA13.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA13.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *Column 6
. 
. use composition.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: reg chshspain 
>     totspanishdeath
>     i.year i.provcode
>     distfuture if distfuture<=9;
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.provcode{col 19}_Iprovcode_1-47{col 39}(naturally coded; _Iprovcode_1 omitted)
note: _Iyear_1699 omitted because of collinearity
note: _Iyear_1729 omitted because of collinearity
note: _Iyear_1730 omitted because of collinearity
note: _Iyear_1731 omitted because of collinearity
note: _Iyear_1733 omitted because of collinearity
note: _Iprovcode_25 omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}       301
{txt}{hline 13}{c +}{hline 34}   F(95, 205)      = {res}    12.16
{txt}       Model {c |} {res} 22468.9022        95  236.514759   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 3987.23242       205  19.4499143   {txt}R-squared       ={res}    0.8493
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.7794
{txt}       Total {c |} {res} 26456.1346       300  88.1871153   {txt}Root MSE        =   {res} 4.4102

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-39.30241{col 29}{space 2} 10.41461{col 40}{space 1}   -3.77{col 49}{space 3}0.000{col 57}{space 4}-59.83589{col 70}{space 3}-18.76894
{txt}{space 4}_Iyear_1688 {c |}{col 17}{res}{space 2}-7.785401{col 29}{space 2} 5.304909{col 40}{space 1}   -1.47{col 49}{space 3}0.144{col 57}{space 4}-18.24458{col 70}{space 3} 2.673777
{txt}{space 4}_Iyear_1689 {c |}{col 17}{res}{space 2}-7.402112{col 29}{space 2} 5.232681{col 40}{space 1}   -1.41{col 49}{space 3}0.159{col 57}{space 4}-17.71888{col 70}{space 3}  2.91466
{txt}{space 4}_Iyear_1690 {c |}{col 17}{res}{space 2}-2.027101{col 29}{space 2} 5.157769{col 40}{space 1}   -0.39{col 49}{space 3}0.695{col 57}{space 4}-12.19618{col 70}{space 3} 8.141974
{txt}{space 4}_Iyear_1691 {c |}{col 17}{res}{space 2}-3.024649{col 29}{space 2} 6.930215{col 40}{space 1}   -0.44{col 49}{space 3}0.663{col 57}{space 4}-16.68829{col 70}{space 3} 10.63899
{txt}{space 4}_Iyear_1692 {c |}{col 17}{res}{space 2}-.6899628{col 29}{space 2} 5.099547{col 40}{space 1}   -0.14{col 49}{space 3}0.893{col 57}{space 4}-10.74425{col 70}{space 3} 9.364322
{txt}{space 4}_Iyear_1693 {c |}{col 17}{res}{space 2}-2.865068{col 29}{space 2} 5.233686{col 40}{space 1}   -0.55{col 49}{space 3}0.585{col 57}{space 4}-13.18382{col 70}{space 3} 7.453685
{txt}{space 4}_Iyear_1694 {c |}{col 17}{res}{space 2}-2.585528{col 29}{space 2} 5.382469{col 40}{space 1}   -0.48{col 49}{space 3}0.631{col 57}{space 4}-13.19762{col 70}{space 3} 8.026567
{txt}{space 4}_Iyear_1695 {c |}{col 17}{res}{space 2}-18.75605{col 29}{space 2} 5.708022{col 40}{space 1}   -3.29{col 49}{space 3}0.001{col 57}{space 4}-30.01001{col 70}{space 3}-7.502095
{txt}{space 4}_Iyear_1696 {c |}{col 17}{res}{space 2} -18.4089{col 29}{space 2} 5.662393{col 40}{space 1}   -3.25{col 49}{space 3}0.001{col 57}{space 4}-29.57289{col 70}{space 3}-7.244905
{txt}{space 4}_Iyear_1697 {c |}{col 17}{res}{space 2}-16.24751{col 29}{space 2} 5.635669{col 40}{space 1}   -2.88{col 49}{space 3}0.004{col 57}{space 4}-27.35881{col 70}{space 3}-5.136205
{txt}{space 4}_Iyear_1698 {c |}{col 17}{res}{space 2}-19.02621{col 29}{space 2} 6.019998{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4}-30.89525{col 70}{space 3}-7.157157
{txt}{space 4}_Iyear_1699 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1700 {c |}{col 17}{res}{space 2}-21.68793{col 29}{space 2} 6.028097{col 40}{space 1}   -3.60{col 49}{space 3}0.000{col 57}{space 4}-33.57295{col 70}{space 3}-9.802915
{txt}{space 4}_Iyear_1704 {c |}{col 17}{res}{space 2} -14.3838{col 29}{space 2} 6.795952{col 40}{space 1}   -2.12{col 49}{space 3}0.036{col 57}{space 4}-27.78272{col 70}{space 3} -.984874
{txt}{space 4}_Iyear_1705 {c |}{col 17}{res}{space 2} 1.912823{col 29}{space 2} 5.795559{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4}-9.513722{col 70}{space 3} 13.33937
{txt}{space 4}_Iyear_1706 {c |}{col 17}{res}{space 2} .8634258{col 29}{space 2} 6.118439{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-11.19971{col 70}{space 3} 12.92656
{txt}{space 4}_Iyear_1707 {c |}{col 17}{res}{space 2} 11.97421{col 29}{space 2} 6.923272{col 40}{space 1}    1.73{col 49}{space 3}0.085{col 57}{space 4}-1.675737{col 70}{space 3} 25.62416
{txt}{space 4}_Iyear_1708 {c |}{col 17}{res}{space 2}-1.670769{col 29}{space 2} 5.083894{col 40}{space 1}   -0.33{col 49}{space 3}0.743{col 57}{space 4}-11.69419{col 70}{space 3} 8.352654
{txt}{space 4}_Iyear_1709 {c |}{col 17}{res}{space 2}-5.383579{col 29}{space 2} 5.484283{col 40}{space 1}   -0.98{col 49}{space 3}0.327{col 57}{space 4}-16.19641{col 70}{space 3} 5.429254
{txt}{space 4}_Iyear_1710 {c |}{col 17}{res}{space 2}-23.18225{col 29}{space 2} 5.225192{col 40}{space 1}   -4.44{col 49}{space 3}0.000{col 57}{space 4}-33.48426{col 70}{space 3}-12.88025
{txt}{space 4}_Iyear_1711 {c |}{col 17}{res}{space 2} -22.3571{col 29}{space 2} 5.068656{col 40}{space 1}   -4.41{col 49}{space 3}0.000{col 57}{space 4}-32.35048{col 70}{space 3}-12.36372
{txt}{space 4}_Iyear_1712 {c |}{col 17}{res}{space 2}-21.41103{col 29}{space 2} 5.068106{col 40}{space 1}   -4.22{col 49}{space 3}0.000{col 57}{space 4}-31.40333{col 70}{space 3}-11.41873
{txt}{space 4}_Iyear_1713 {c |}{col 17}{res}{space 2}-15.08667{col 29}{space 2} 5.209533{col 40}{space 1}   -2.90{col 49}{space 3}0.004{col 57}{space 4}-25.35781{col 70}{space 3}-4.815541
{txt}{space 4}_Iyear_1714 {c |}{col 17}{res}{space 2}-12.75829{col 29}{space 2} 6.007112{col 40}{space 1}   -2.12{col 49}{space 3}0.035{col 57}{space 4}-24.60194{col 70}{space 3}-.9146507
{txt}{space 4}_Iyear_1715 {c |}{col 17}{res}{space 2}-10.70924{col 29}{space 2} 5.000536{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}-20.56831{col 70}{space 3}-.8501643
{txt}{space 4}_Iyear_1716 {c |}{col 17}{res}{space 2}-7.101698{col 29}{space 2} 5.344908{col 40}{space 1}   -1.33{col 49}{space 3}0.185{col 57}{space 4}-17.63974{col 70}{space 3}  3.43634
{txt}{space 4}_Iyear_1717 {c |}{col 17}{res}{space 2}-6.568695{col 29}{space 2} 5.996532{col 40}{space 1}   -1.10{col 49}{space 3}0.275{col 57}{space 4}-18.39148{col 70}{space 3} 5.254089
{txt}{space 4}_Iyear_1718 {c |}{col 17}{res}{space 2}-2.785359{col 29}{space 2} 5.272497{col 40}{space 1}   -0.53{col 49}{space 3}0.598{col 57}{space 4}-13.18063{col 70}{space 3} 7.609915
{txt}{space 4}_Iyear_1719 {c |}{col 17}{res}{space 2}-.8993804{col 29}{space 2} 5.133587{col 40}{space 1}   -0.18{col 49}{space 3}0.861{col 57}{space 4}-11.02078{col 70}{space 3} 9.222018
{txt}{space 4}_Iyear_1720 {c |}{col 17}{res}{space 2} 21.41405{col 29}{space 2} 6.098222{col 40}{space 1}    3.51{col 49}{space 3}0.001{col 57}{space 4} 9.390769{col 70}{space 3} 33.43732
{txt}{space 4}_Iyear_1728 {c |}{col 17}{res}{space 2}  27.1745{col 29}{space 2}  6.05449{col 40}{space 1}    4.49{col 49}{space 3}0.000{col 57}{space 4} 15.23744{col 70}{space 3} 39.11155
{txt}{space 4}_Iyear_1729 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1730 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1731 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1732 {c |}{col 17}{res}{space 2} .6758479{col 29}{space 2}  5.21228{col 40}{space 1}    0.13{col 49}{space 3}0.897{col 57}{space 4}-9.600701{col 70}{space 3}  10.9524
{txt}{space 4}_Iyear_1733 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 4}_Iyear_1734 {c |}{col 17}{res}{space 2}-.8713794{col 29}{space 2} 5.142583{col 40}{space 1}   -0.17{col 49}{space 3}0.866{col 57}{space 4}-11.01051{col 70}{space 3} 9.267755
{txt}{space 4}_Iyear_1735 {c |}{col 17}{res}{space 2}-8.979344{col 29}{space 2} 5.321313{col 40}{space 1}   -1.69{col 49}{space 3}0.093{col 57}{space 4}-19.47086{col 70}{space 3} 1.512174
{txt}{space 4}_Iyear_1736 {c |}{col 17}{res}{space 2}-8.230341{col 29}{space 2} 5.975074{col 40}{space 1}   -1.38{col 49}{space 3}0.170{col 57}{space 4}-20.01082{col 70}{space 3} 3.550136
{txt}{space 4}_Iyear_1737 {c |}{col 17}{res}{space 2}-10.51991{col 29}{space 2} 5.356688{col 40}{space 1}   -1.96{col 49}{space 3}0.051{col 57}{space 4}-21.08117{col 70}{space 3} .0413591
{txt}{space 4}_Iyear_1738 {c |}{col 17}{res}{space 2}-8.422988{col 29}{space 2} 5.144646{col 40}{space 1}   -1.64{col 49}{space 3}0.103{col 57}{space 4}-18.56619{col 70}{space 3} 1.720214
{txt}{space 4}_Iyear_1739 {c |}{col 17}{res}{space 2}-12.14304{col 29}{space 2} 6.963413{col 40}{space 1}   -1.74{col 49}{space 3}0.083{col 57}{space 4}-25.87213{col 70}{space 3} 1.586048
{txt}{space 4}_Iyear_1740 {c |}{col 17}{res}{space 2}-14.12931{col 29}{space 2} 5.305463{col 40}{space 1}   -2.66{col 49}{space 3}0.008{col 57}{space 4}-24.58958{col 70}{space 3}-3.669041
{txt}{space 4}_Iyear_1741 {c |}{col 17}{res}{space 2} -9.70919{col 29}{space 2} 5.533192{col 40}{space 1}   -1.75{col 49}{space 3}0.081{col 57}{space 4}-20.61845{col 70}{space 3} 1.200072
{txt}{space 4}_Iyear_1742 {c |}{col 17}{res}{space 2}-11.34389{col 29}{space 2} 5.378833{col 40}{space 1}   -2.11{col 49}{space 3}0.036{col 57}{space 4}-21.94881{col 70}{space 3}-.7389624
{txt}{space 4}_Iyear_1744 {c |}{col 17}{res}{space 2}-1.005459{col 29}{space 2} 5.531669{col 40}{space 1}   -0.18{col 49}{space 3}0.856{col 57}{space 4}-11.91172{col 70}{space 3} 9.900799
{txt}{space 4}_Iyear_1745 {c |}{col 17}{res}{space 2}-20.55698{col 29}{space 2} 5.452882{col 40}{space 1}   -3.77{col 49}{space 3}0.000{col 57}{space 4} -31.3079{col 70}{space 3}-9.806058
{txt}{space 4}_Iyear_1746 {c |}{col 17}{res}{space 2}-17.69411{col 29}{space 2} 5.581662{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4}-28.69893{col 70}{space 3}-6.689283
{txt}{space 4}_Iyear_1747 {c |}{col 17}{res}{space 2}-13.01252{col 29}{space 2} 5.241433{col 40}{space 1}   -2.48{col 49}{space 3}0.014{col 57}{space 4}-23.34654{col 70}{space 3}-2.678488
{txt}{space 4}_Iyear_1748 {c |}{col 17}{res}{space 2}-8.286425{col 29}{space 2} 5.280575{col 40}{space 1}   -1.57{col 49}{space 3}0.118{col 57}{space 4}-18.69762{col 70}{space 3} 2.124774
{txt}{space 4}_Iyear_1749 {c |}{col 17}{res}{space 2}-6.882444{col 29}{space 2} 5.142613{col 40}{space 1}   -1.34{col 49}{space 3}0.182{col 57}{space 4}-17.02164{col 70}{space 3} 3.256749
{txt}{space 4}_Iyear_1750 {c |}{col 17}{res}{space 2}-18.56352{col 29}{space 2} 5.060529{col 40}{space 1}   -3.67{col 49}{space 3}0.000{col 57}{space 4}-28.54087{col 70}{space 3}-8.586159
{txt}{space 4}_Iyear_1751 {c |}{col 17}{res}{space 2}-19.01038{col 29}{space 2} 5.677438{col 40}{space 1}   -3.35{col 49}{space 3}0.001{col 57}{space 4}-30.20404{col 70}{space 3}-7.816728
{txt}{space 3}_Iprovcode_2 {c |}{col 17}{res}{space 2} 2.494798{col 29}{space 2} 3.030717{col 40}{space 1}    0.82{col 49}{space 3}0.411{col 57}{space 4}-3.480575{col 70}{space 3} 8.470171
{txt}{space 3}_Iprovcode_3 {c |}{col 17}{res}{space 2} 2.819647{col 29}{space 2} 3.446334{col 40}{space 1}    0.82{col 49}{space 3}0.414{col 57}{space 4}-3.975158{col 70}{space 3} 9.614452
{txt}{space 3}_Iprovcode_4 {c |}{col 17}{res}{space 2} 6.166084{col 29}{space 2} 3.152053{col 40}{space 1}    1.96{col 49}{space 3}0.052{col 57}{space 4}-.0485153{col 70}{space 3} 12.38068
{txt}{space 3}_Iprovcode_5 {c |}{col 17}{res}{space 2} 6.136823{col 29}{space 2} 3.165066{col 40}{space 1}    1.94{col 49}{space 3}0.054{col 57}{space 4}-.1034325{col 70}{space 3} 12.37708
{txt}{space 3}_Iprovcode_6 {c |}{col 17}{res}{space 2} 6.046458{col 29}{space 2} 3.775298{col 40}{space 1}    1.60{col 49}{space 3}0.111{col 57}{space 4}-1.396933{col 70}{space 3} 13.48985
{txt}{space 3}_Iprovcode_7 {c |}{col 17}{res}{space 2} 6.248223{col 29}{space 2} 2.836058{col 40}{space 1}    2.20{col 49}{space 3}0.029{col 57}{space 4} .6566409{col 70}{space 3}  11.8398
{txt}{space 3}_Iprovcode_8 {c |}{col 17}{res}{space 2} 5.618011{col 29}{space 2} 3.301419{col 40}{space 1}    1.70{col 49}{space 3}0.090{col 57}{space 4}-.8910784{col 70}{space 3}  12.1271
{txt}{space 3}_Iprovcode_9 {c |}{col 17}{res}{space 2} 7.240594{col 29}{space 2}  3.08929{col 40}{space 1}    2.34{col 49}{space 3}0.020{col 57}{space 4} 1.149738{col 70}{space 3} 13.33145
{txt}{space 2}_Iprovcode_10 {c |}{col 17}{res}{space 2} 5.354118{col 29}{space 2} 2.927798{col 40}{space 1}    1.83{col 49}{space 3}0.069{col 57}{space 4}-.4183399{col 70}{space 3} 11.12658
{txt}{space 2}_Iprovcode_11 {c |}{col 17}{res}{space 2} 6.589818{col 29}{space 2} 3.262168{col 40}{space 1}    2.02{col 49}{space 3}0.045{col 57}{space 4} .1581165{col 70}{space 3} 13.02152
{txt}{space 2}_Iprovcode_12 {c |}{col 17}{res}{space 2} 7.739126{col 29}{space 2} 2.960762{col 40}{space 1}    2.61{col 49}{space 3}0.010{col 57}{space 4} 1.901678{col 70}{space 3} 13.57657
{txt}{space 2}_Iprovcode_13 {c |}{col 17}{res}{space 2} 8.061767{col 29}{space 2} 3.021389{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} 2.104786{col 70}{space 3} 14.01875
{txt}{space 2}_Iprovcode_14 {c |}{col 17}{res}{space 2} 4.068597{col 29}{space 2} 3.023588{col 40}{space 1}    1.35{col 49}{space 3}0.180{col 57}{space 4}-1.892719{col 70}{space 3} 10.02991
{txt}{space 2}_Iprovcode_15 {c |}{col 17}{res}{space 2} 6.030966{col 29}{space 2} 3.041614{col 40}{space 1}    1.98{col 49}{space 3}0.049{col 57}{space 4} .0341096{col 70}{space 3} 12.02782
{txt}{space 2}_Iprovcode_16 {c |}{col 17}{res}{space 2} 7.226322{col 29}{space 2} 3.300091{col 40}{space 1}    2.19{col 49}{space 3}0.030{col 57}{space 4}  .719851{col 70}{space 3} 13.73279
{txt}{space 2}_Iprovcode_17 {c |}{col 17}{res}{space 2} 3.635063{col 29}{space 2} 2.860244{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4}-2.004204{col 70}{space 3}  9.27433
{txt}{space 2}_Iprovcode_18 {c |}{col 17}{res}{space 2} 4.570961{col 29}{space 2} 3.002799{col 40}{space 1}    1.52{col 49}{space 3}0.129{col 57}{space 4}-1.349369{col 70}{space 3} 10.49129
{txt}{space 2}_Iprovcode_19 {c |}{col 17}{res}{space 2} 3.810849{col 29}{space 2} 4.208663{col 40}{space 1}    0.91{col 49}{space 3}0.366{col 57}{space 4}-4.486965{col 70}{space 3} 12.10866
{txt}{space 2}_Iprovcode_20 {c |}{col 17}{res}{space 2} 7.838123{col 29}{space 2} 3.206343{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 1.516485{col 70}{space 3} 14.15976
{txt}{space 2}_Iprovcode_21 {c |}{col 17}{res}{space 2} 6.711663{col 29}{space 2} 3.303975{col 40}{space 1}    2.03{col 49}{space 3}0.044{col 57}{space 4} .1975341{col 70}{space 3} 13.22579
{txt}{space 2}_Iprovcode_22 {c |}{col 17}{res}{space 2} 3.448392{col 29}{space 2} 3.184106{col 40}{space 1}    1.08{col 49}{space 3}0.280{col 57}{space 4}-2.829402{col 70}{space 3} 9.726186
{txt}{space 2}_Iprovcode_23 {c |}{col 17}{res}{space 2} 4.152138{col 29}{space 2} 3.529998{col 40}{space 1}    1.18{col 49}{space 3}0.241{col 57}{space 4}-2.807618{col 70}{space 3} 11.11189
{txt}{space 2}_Iprovcode_24 {c |}{col 17}{res}{space 2} 5.160056{col 29}{space 2} 2.924435{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-.6057703{col 70}{space 3} 10.92588
{txt}{space 2}_Iprovcode_25 {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 2}_Iprovcode_26 {c |}{col 17}{res}{space 2} 8.554772{col 29}{space 2} 2.979803{col 40}{space 1}    2.87{col 49}{space 3}0.005{col 57}{space 4} 2.679781{col 70}{space 3} 14.42976
{txt}{space 2}_Iprovcode_27 {c |}{col 17}{res}{space 2} 5.608935{col 29}{space 2} 3.058579{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}  -.42137{col 70}{space 3} 11.63924
{txt}{space 2}_Iprovcode_28 {c |}{col 17}{res}{space 2} 3.418577{col 29}{space 2} 2.902302{col 40}{space 1}    1.18{col 49}{space 3}0.240{col 57}{space 4}-2.303613{col 70}{space 3} 9.140766
{txt}{space 2}_Iprovcode_29 {c |}{col 17}{res}{space 2} 5.482828{col 29}{space 2} 3.360183{col 40}{space 1}    1.63{col 49}{space 3}0.104{col 57}{space 4} -1.14212{col 70}{space 3} 12.10778
{txt}{space 2}_Iprovcode_30 {c |}{col 17}{res}{space 2} 7.058625{col 29}{space 2} 3.146249{col 40}{space 1}    2.24{col 49}{space 3}0.026{col 57}{space 4} .8554696{col 70}{space 3} 13.26178
{txt}{space 2}_Iprovcode_31 {c |}{col 17}{res}{space 2} 6.347614{col 29}{space 2} 3.256276{col 40}{space 1}    1.95{col 49}{space 3}0.053{col 57}{space 4}-.0724719{col 70}{space 3}  12.7677
{txt}{space 2}_Iprovcode_32 {c |}{col 17}{res}{space 2} 4.830235{col 29}{space 2} 3.021658{col 40}{space 1}    1.60{col 49}{space 3}0.111{col 57}{space 4}-1.127276{col 70}{space 3} 10.78775
{txt}{space 2}_Iprovcode_33 {c |}{col 17}{res}{space 2} 5.828895{col 29}{space 2} 2.882025{col 40}{space 1}    2.02{col 49}{space 3}0.044{col 57}{space 4} .1466839{col 70}{space 3} 11.51111
{txt}{space 2}_Iprovcode_34 {c |}{col 17}{res}{space 2} 3.653465{col 29}{space 2} 4.145197{col 40}{space 1}    0.88{col 49}{space 3}0.379{col 57}{space 4} -4.51922{col 70}{space 3} 11.82615
{txt}{space 2}_Iprovcode_35 {c |}{col 17}{res}{space 2} 7.380272{col 29}{space 2} 3.020964{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 1.424128{col 70}{space 3} 13.33642
{txt}{space 2}_Iprovcode_36 {c |}{col 17}{res}{space 2} 3.601208{col 29}{space 2} 2.990121{col 40}{space 1}    1.20{col 49}{space 3}0.230{col 57}{space 4}-2.294125{col 70}{space 3} 9.496542
{txt}{space 2}_Iprovcode_37 {c |}{col 17}{res}{space 2} 6.399649{col 29}{space 2} 3.446482{col 40}{space 1}    1.86{col 49}{space 3}0.065{col 57}{space 4}-.3954461{col 70}{space 3} 13.19474
{txt}{space 2}_Iprovcode_38 {c |}{col 17}{res}{space 2} 7.005065{col 29}{space 2} 3.142948{col 40}{space 1}    2.23{col 49}{space 3}0.027{col 57}{space 4} .8084171{col 70}{space 3} 13.20171
{txt}{space 2}_Iprovcode_39 {c |}{col 17}{res}{space 2} 6.419356{col 29}{space 2} 2.806612{col 40}{space 1}    2.29{col 49}{space 3}0.023{col 57}{space 4} .8858301{col 70}{space 3} 11.95288
{txt}{space 2}_Iprovcode_40 {c |}{col 17}{res}{space 2} 5.212438{col 29}{space 2} 2.949988{col 40}{space 1}    1.77{col 49}{space 3}0.079{col 57}{space 4}-.6037696{col 70}{space 3} 11.02864
{txt}{space 2}_Iprovcode_41 {c |}{col 17}{res}{space 2} 8.675821{col 29}{space 2} 4.187741{col 40}{space 1}    2.07{col 49}{space 3}0.040{col 57}{space 4} .4192567{col 70}{space 3} 16.93239
{txt}{space 2}_Iprovcode_42 {c |}{col 17}{res}{space 2} 4.420463{col 29}{space 2} 3.392814{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4} -2.26882{col 70}{space 3} 11.10975
{txt}{space 2}_Iprovcode_43 {c |}{col 17}{res}{space 2} 5.525493{col 29}{space 2} 2.791595{col 40}{space 1}    1.98{col 49}{space 3}0.049{col 57}{space 4}  .021574{col 70}{space 3} 11.02941
{txt}{space 2}_Iprovcode_44 {c |}{col 17}{res}{space 2} 5.154895{col 29}{space 2} 3.661615{col 40}{space 1}    1.41{col 49}{space 3}0.161{col 57}{space 4}-2.064357{col 70}{space 3} 12.37415
{txt}{space 2}_Iprovcode_45 {c |}{col 17}{res}{space 2} 4.792783{col 29}{space 2} 3.072525{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-1.265017{col 70}{space 3} 10.85058
{txt}{space 2}_Iprovcode_46 {c |}{col 17}{res}{space 2} 3.163927{col 29}{space 2} 3.006409{col 40}{space 1}    1.05{col 49}{space 3}0.294{col 57}{space 4}-2.763519{col 70}{space 3} 9.091373
{txt}{space 2}_Iprovcode_47 {c |}{col 17}{res}{space 2} 3.777512{col 29}{space 2} 2.813435{col 40}{space 1}    1.34{col 49}{space 3}0.181{col 57}{space 4}-1.769467{col 70}{space 3}  9.32449
{txt}{space 5}distfuture {c |}{col 17}{res}{space 2}-.7558384{col 29}{space 2} .2048803{col 40}{space 1}   -3.69{col 49}{space 3}0.000{col 57}{space 4}-1.159781{col 70}{space 3}-.3518956
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 2.586568{col 29}{space 2} 5.503739{col 40}{space 1}    0.47{col 49}{space 3}0.639{col 57}{space 4}-8.264624{col 70}{space 3} 13.43776
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         predict cooksd6, cooksd;
{txt}(47 missing values generated)

{com}.         gen N6 = e(N) if e(sample);
{txt}(143 missing values generated)

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. xi: xtivreg2 lgprice (chshspain = 
>     totspanishdeath) obyear1-obyear8
>     i.year
>     distfuture if distfuture<=9 & cooksd6<4/N6, fe cluster(provcode)
>     first partial (obyear* distfuture _I*);
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  1 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1691 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1706 _Iyear_1707 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.1
{txt}{col 64}max{col 68}={col 70}{res}       12
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1691 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.1
{txt}{col 64}max{col 68}={col 70}{res}       12

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     267
{txt}Number of clusters (provcode) = {col 33}{res}    44
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-56.27074{col 29}{space 2} 7.843642{col 40}{space 1}   -7.17{col 49}{space 3}0.000{col 57}{space 4}-71.75229{col 70}{space 3}-40.78918
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    43) = {res}   51.47
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    43) = {res}   51.47
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    43{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    43{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   51.47{col 28}  0.0000{col 37}{txt}|{col 42}{res}   64.56{col 51}  0.0000{col 60}{txt}|{col 65}{res}   51.47

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}12.64  {col 61}{txt}P-val={res}0.0004

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   64.88
Kleibergen-Paap Wald rk F statistic{col 65}   51.47

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}43{txt})={col 49}{res}   7.41{col 61}{txt}P-val={res}0.0093
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   9.30{col 61}{txt}P-val={res}0.0023
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.15{col 61}{txt}P-val={res}0.0233

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        44
{txt}Number of observations               N  = {res}       267
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        49
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    44{txt}{col 55}Number of obs = {res}     267
{txt}{col 55}F(  1,    43) = {res}    8.07
{txt}{col 55}Prob > F      = {res}  0.0069
{txt}Total (centered) SS     = {res}  24.9775531{txt}{col 55}Centered R2   = {res}  0.0060
{txt}Total (uncentered) SS   = {res}  24.9775531{txt}{col 55}Uncentered R2 = {res}  0.0060
{txt}Residual SS             = {res}  24.8278842{txt}{col 55}Root MSE      = {res}   .3337

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0465652{col 26}{space 2} .0146377{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-.0752545{col 67}{space 3}-.0178759
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  12.644
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0004
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  64.885
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  51.467
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1705 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1691 _Iyear_1699 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1706 _Iyear_1707 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{hline 78}

{com}.         sum lgprice if e(sample);

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        268    .1544628    .4401726  -1.252763   1.203973
{txt}
{com}.         local mean = r(mean);
{txt}
{com}.         local fstat = e(widstat);
{txt}
{com}.         outreg2 using  TableA13.tex, append dec(3) nocons nor noni 
>         adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}{stata `"shellout using `"TableA13.tex"'"':TableA13.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA13.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. ***************************************************************
. ***TABLE A.14: Limit to Later Periods of Sample
. ***************************************************************
. 
. **********************
. **Panel A - Post 1700
. **********************
. 
. *new members data 
. 
. use newmembersdata, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshsold = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1700, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14A.tex, `replace' dec(3) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 16}_Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     248
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 99.98135{col 29}{space 2} 10.03254{col 40}{space 1}    9.97{col 49}{space 3}0.000{col 57}{space 4} 80.16616{col 70}{space 3} 119.7965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}   99.32
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}   99.32
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   99.32{col 28}  0.0000{col 37}{txt}|{col 42}{res}  122.92{col 51}  0.0000{col 60}{txt}|{col 65}{res}   99.32

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}16.04  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   86.77
Kleibergen-Paap Wald rk F statistic{col 65}   99.32

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   4.23{col 61}{txt}P-val={res}0.0456
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.23{col 61}{txt}P-val={res}0.0222
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.64{col 61}{txt}P-val={res}0.0565

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       248
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        43
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     248
{txt}{col 55}F(  1,    45) = {res}    4.71
{txt}{col 55}Prob > F      = {res}  0.0354
{txt}Total (centered) SS     = {res}  1216749716{txt}{col 55}Centered R2   = {res}  0.0368
{txt}Total (uncentered) SS   = {res}  1216749716{txt}{col 55}Uncentered R2 = {res}  0.0368
{txt}Residual SS             = {res}  1172010353{txt}{col 55}Root MSE      = {res}    2409

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 207.9538{col 26}{space 2} 86.15928{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} 39.08474{col 67}{space 3} 376.8229
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  16.037
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  86.770
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  99.315
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1731
{col 23}_Iyear_1732 _Iyear_1734 _Iyear_1735 _Iyear_1736
{col 23}_Iyear_1737 _Iyear_1738 _Iyear_1739 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1744 _Iyear_1745
{col 23}_Iyear_1746 _Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        248    1097.735    3067.208  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14A.tex"'"':TableA14A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 16}_Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     248
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 99.98135{col 29}{space 2} 10.03254{col 40}{space 1}    9.97{col 49}{space 3}0.000{col 57}{space 4} 80.16616{col 70}{space 3} 119.7965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}   99.32
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}   99.32
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   99.32{col 28}  0.0000{col 37}{txt}|{col 42}{res}  122.92{col 51}  0.0000{col 60}{txt}|{col 65}{res}   99.32

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}16.04  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   86.77
Kleibergen-Paap Wald rk F statistic{col 65}   99.32

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.28{col 61}{txt}P-val={res}0.0263
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.54{col 61}{txt}P-val={res}0.0106
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.09{col 61}{txt}P-val={res}0.0432

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       248
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        43
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     248
{txt}{col 55}F(  1,    45) = {res}    5.72
{txt}{col 55}Prob > F      = {res}  0.0211
{txt}Total (centered) SS     = {res} 20.06036532{txt}{col 55}Centered R2   = {res}  0.0213
{txt}Total (uncentered) SS   = {res} 20.06036532{txt}{col 55}Uncentered R2 = {res}  0.0213
{txt}Residual SS             = {res} 19.63395909{txt}{col 55}Root MSE      = {res}   .3118

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0199927{col 26}{space 2} .0075163{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0052609{col 67}{space 3} .0347244
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  16.037
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  86.770
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  99.315
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1731
{col 23}_Iyear_1732 _Iyear_1734 _Iyear_1735 _Iyear_1736
{col 23}_Iyear_1737 _Iyear_1738 _Iyear_1739 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1744 _Iyear_1745
{col 23}_Iyear_1746 _Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        248    .1922557     .415085  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA14A.tex"'"':TableA14A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1700, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14A.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 16}_Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     248
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-97.52785{col 29}{space 2} 9.959069{col 40}{space 1}   -9.79{col 49}{space 3}0.000{col 57}{space 4}-117.1979{col 70}{space 3}-77.85777
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}   95.90
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}   95.90
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   95.90{col 28}  0.0000{col 37}{txt}|{col 42}{res}  118.69{col 51}  0.0000{col 60}{txt}|{col 65}{res}   95.90

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}16.17  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   80.20
Kleibergen-Paap Wald rk F statistic{col 65}   95.90

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   4.23{col 61}{txt}P-val={res}0.0456
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.23{col 61}{txt}P-val={res}0.0222
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.64{col 61}{txt}P-val={res}0.0565

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       248
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        43
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     248
{txt}{col 55}F(  1,    45) = {res}    5.00
{txt}{col 55}Prob > F      = {res}  0.0303
{txt}Total (centered) SS     = {res}  1216749716{txt}{col 55}Centered R2   = {res}  0.0702
{txt}Total (uncentered) SS   = {res}  1216749716{txt}{col 55}Uncentered R2 = {res}  0.0702
{txt}Residual SS             = {res}  1131386749{txt}{col 55}Root MSE      = {res}    2367

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-213.1853{col 26}{space 2} 85.65621{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-381.0684{col 67}{space 3}-45.30221
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  16.171
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  80.196
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  95.900
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1731
{col 23}_Iyear_1732 _Iyear_1734 _Iyear_1735 _Iyear_1736
{col 23}_Iyear_1737 _Iyear_1738 _Iyear_1739 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1744 _Iyear_1745
{col 23}_Iyear_1746 _Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        248    1097.735    3067.208  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14A.tex"'"':TableA14A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 16}_Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     248
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-97.52785{col 29}{space 2} 9.959069{col 40}{space 1}   -9.79{col 49}{space 3}0.000{col 57}{space 4}-117.1979{col 70}{space 3}-77.85777
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}   95.90
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}   95.90
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   95.90{col 28}  0.0000{col 37}{txt}|{col 42}{res}  118.69{col 51}  0.0000{col 60}{txt}|{col 65}{res}   95.90

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}16.17  {col 61}{txt}P-val={res}0.0001

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   80.20
Kleibergen-Paap Wald rk F statistic{col 65}   95.90

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.28{col 61}{txt}P-val={res}0.0263
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.54{col 61}{txt}P-val={res}0.0106
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.09{col 61}{txt}P-val={res}0.0432

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       248
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        43
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     248
{txt}{col 55}F(  1,    45) = {res}    5.79
{txt}{col 55}Prob > F      = {res}  0.0203
{txt}Total (centered) SS     = {res} 20.06036532{txt}{col 55}Centered R2   = {res}  0.0414
{txt}Total (uncentered) SS   = {res} 20.06036532{txt}{col 55}Uncentered R2 = {res}  0.0414
{txt}Residual SS             = {res}  19.2295841{txt}{col 55}Root MSE      = {res}   .3085

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0204956{col 26}{space 2} .0076576{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4}-.0355042{col 67}{space 3} -.005487
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  16.171
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  80.196
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  95.900
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1731
{col 23}_Iyear_1732 _Iyear_1734 _Iyear_1735 _Iyear_1736
{col 23}_Iyear_1737 _Iyear_1738 _Iyear_1739 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1744 _Iyear_1745
{col 23}_Iyear_1746 _Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        248    .1922557     .415085  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA14A.tex"'"':TableA14A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1700, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14A.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 16}_Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     248
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-23.51343{col 29}{space 2} 11.17376{col 40}{space 1}   -2.10{col 49}{space 3}0.037{col 57}{space 4}-45.58264{col 70}{space 3}-1.444216
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    4.43
{txt}  Prob > F      = {res}  0.0410
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    4.43
{txt}  Prob > F      = {res}  0.0410



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    4.43{col 28}  0.0410{col 37}{txt}|{col 42}{res}    5.48{col 51}  0.0192{col 60}{txt}|{col 65}{res}    4.43

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}4.08   {col 61}{txt}P-val={res}0.0433

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    4.31
Kleibergen-Paap Wald rk F statistic{col 65}    4.43

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   4.40{col 61}{txt}P-val={res}0.0415
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.45{col 61}{txt}P-val={res}0.0196
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.73{col 61}{txt}P-val={res}0.0535

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       248
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        43
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     248
{txt}{col 55}F(  1,    45) = {res}    3.40
{txt}{col 55}Prob > F      = {res}  0.0719
{txt}Total (centered) SS     = {res}  1216749716{txt}{col 55}Centered R2   = {res} -2.0933
{txt}Total (uncentered) SS   = {res}  1216749716{txt}{col 55}Uncentered R2 = {res} -2.0933
{txt}Residual SS             = {res}  3763742504{txt}{col 55}Root MSE      = {res}    4317

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-980.5612{col 26}{space 2} 478.1318{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-1917.682{col 67}{space 3}-43.44002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   4.084
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0433
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   4.307
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   4.428
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1731
{col 23}_Iyear_1732 _Iyear_1734 _Iyear_1735 _Iyear_1736
{col 23}_Iyear_1737 _Iyear_1738 _Iyear_1739 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1744 _Iyear_1745
{col 23}_Iyear_1746 _Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        248    1097.735    3067.208  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14A.tex"'"':TableA14A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729
{col 21}_Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 16}_Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      5.4
{txt}{col 64}max{col 68}={col 70}{res}       11

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     248
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-23.51343{col 29}{space 2} 11.17376{col 40}{space 1}   -2.10{col 49}{space 3}0.037{col 57}{space 4}-45.58264{col 70}{space 3}-1.444216
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    4.43
{txt}  Prob > F      = {res}  0.0410
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    4.43
{txt}  Prob > F      = {res}  0.0410



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    4.43{col 28}  0.0410{col 37}{txt}|{col 42}{res}    5.48{col 51}  0.0192{col 60}{txt}|{col 65}{res}    4.43

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}4.08   {col 61}{txt}P-val={res}0.0433

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    4.31
Kleibergen-Paap Wald rk F statistic{col 65}    4.43

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.75{col 61}{txt}P-val={res}0.0207
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   7.11{col 61}{txt}P-val={res}0.0076
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.32{col 61}{txt}P-val={res}0.0377

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       248
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        43
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     248
{txt}{col 55}F(  1,    45) = {res}    2.66
{txt}{col 55}Prob > F      = {res}  0.1101
{txt}Total (centered) SS     = {res} 20.06036532{txt}{col 55}Centered R2   = {res} -1.3162
{txt}Total (uncentered) SS   = {res} 20.06036532{txt}{col 55}Uncentered R2 = {res} -1.3162
{txt}Residual SS             = {res} 46.46374421{txt}{col 55}Root MSE      = {res}   .4796

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0955647{col 26}{space 2} .0527007{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-.1988562{col 67}{space 3} .0077268
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   4.084
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0433
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   4.307
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   4.428
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1731
{col 23}_Iyear_1732 _Iyear_1734 _Iyear_1735 _Iyear_1736
{col 23}_Iyear_1737 _Iyear_1738 _Iyear_1739 _Iyear_1740
{col 23}_Iyear_1741 _Iyear_1742 _Iyear_1744 _Iyear_1745
{col 23}_Iyear_1746 _Iyear_1747 _Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1750 _Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        248    .1922557     .415085  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA14A.tex"'"':TableA14A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. **********************
. **Panel B - Post 1710
. **********************
. 
. *new members data
. 
. use newmembersdata, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshsold = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1710, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14B.tex, `replace' dec(3) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     221
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 102.0914{col 29}{space 2} 9.385513{col 40}{space 1}   10.88{col 49}{space 3}0.000{col 57}{space 4} 83.53338{col 70}{space 3} 120.6494
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  118.32
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  118.32
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  118.32{col 28}  0.0000{col 37}{txt}|{col 42}{res}  144.61{col 51}  0.0000{col 60}{txt}|{col 65}{res}  118.32

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.64  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   82.66
Kleibergen-Paap Wald rk F statistic{col 65}  118.32

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   3.73{col 61}{txt}P-val={res}0.0598
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.56{col 61}{txt}P-val={res}0.0328
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.41{col 61}{txt}P-val={res}0.0649

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       221
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        36
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     221
{txt}{col 55}F(  1,    45) = {res}    3.95
{txt}{col 55}Prob > F      = {res}  0.0529
{txt}Total (centered) SS     = {res}  1163356977{txt}{col 55}Centered R2   = {res}  0.0678
{txt}Total (uncentered) SS   = {res}  1163356977{txt}{col 55}Uncentered R2 = {res}  0.0678
{txt}Residual SS             = {res}  1084535510{txt}{col 55}Root MSE      = {res}    2489

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2}  191.575{col 26}{space 2} 87.14189{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} 20.78006{col 67}{space 3}   362.37
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.638
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  82.655
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 118.321
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717
{col 23}_Iyear_1718 _Iyear_1719 _Iyear_1720 _Iyear_1728
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1739
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        221    1179.672    3222.985  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14B.tex"'"':TableA14B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     221
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 102.0914{col 29}{space 2} 9.385513{col 40}{space 1}   10.88{col 49}{space 3}0.000{col 57}{space 4} 83.53338{col 70}{space 3} 120.6494
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  118.32
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  118.32
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  118.32{col 28}  0.0000{col 37}{txt}|{col 42}{res}  144.61{col 51}  0.0000{col 60}{txt}|{col 65}{res}  118.32

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.64  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   82.66
Kleibergen-Paap Wald rk F statistic{col 65}  118.32

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   3.98{col 61}{txt}P-val={res}0.0521
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.87{col 61}{txt}P-val={res}0.0274
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.23{col 61}{txt}P-val={res}0.0723

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       221
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        36
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     221
{txt}{col 55}F(  1,    45) = {res}    4.30
{txt}{col 55}Prob > F      = {res}  0.0439
{txt}Total (centered) SS     = {res} 17.71223291{txt}{col 55}Centered R2   = {res}  0.0535
{txt}Total (uncentered) SS   = {res} 17.71223291{txt}{col 55}Uncentered R2 = {res}  0.0535
{txt}Residual SS             = {res} 16.76380568{txt}{col 55}Root MSE      = {res}   .3095

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0172961{col 26}{space 2}  .007547{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0025041{col 67}{space 3}  .032088
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.638
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  82.655
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 118.321
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717
{col 23}_Iyear_1718 _Iyear_1719 _Iyear_1720 _Iyear_1728
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1739
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        221    .1976277    .4270854  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA14B.tex"'"':TableA14B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1710, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14B.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     221
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-97.58284{col 29}{space 2} 9.736651{col 40}{space 1}  -10.02{col 49}{space 3}0.000{col 57}{space 4}-116.8352{col 70}{space 3}-78.33052
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  100.44
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  100.44
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}  100.44{col 28}  0.0000{col 37}{txt}|{col 42}{res}  122.77{col 51}  0.0000{col 60}{txt}|{col 65}{res}  100.44

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.84  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   71.59
Kleibergen-Paap Wald rk F statistic{col 65}  100.44

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   3.73{col 61}{txt}P-val={res}0.0598
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.56{col 61}{txt}P-val={res}0.0328
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.41{col 61}{txt}P-val={res}0.0649

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       221
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        36
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     221
{txt}{col 55}F(  1,    45) = {res}    3.97
{txt}{col 55}Prob > F      = {res}  0.0524
{txt}Total (centered) SS     = {res}  1163356977{txt}{col 55}Centered R2   = {res}  0.0895
{txt}Total (uncentered) SS   = {res}  1163356977{txt}{col 55}Uncentered R2 = {res}  0.0895
{txt}Residual SS             = {res}  1059291622{txt}{col 55}Root MSE      = {res}    2460

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-200.4262{col 26}{space 2} 91.00282{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-378.7885{col 67}{space 3}-22.06398
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.838
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  71.585
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 100.445
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717
{col 23}_Iyear_1718 _Iyear_1719 _Iyear_1720 _Iyear_1728
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1739
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        221    1179.672    3222.985  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14B.tex"'"':TableA14B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     221
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-97.58284{col 29}{space 2} 9.736651{col 40}{space 1}  -10.02{col 49}{space 3}0.000{col 57}{space 4}-116.8352{col 70}{space 3}-78.33052
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}  100.44
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}  100.44
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}  100.44{col 28}  0.0000{col 37}{txt}|{col 42}{res}  122.77{col 51}  0.0000{col 60}{txt}|{col 65}{res}  100.44

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.84  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   71.59
Kleibergen-Paap Wald rk F statistic{col 65}  100.44

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   3.98{col 61}{txt}P-val={res}0.0521
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.87{col 61}{txt}P-val={res}0.0274
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.23{col 61}{txt}P-val={res}0.0723

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       221
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        36
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     221
{txt}{col 55}F(  1,    45) = {res}    4.33
{txt}{col 55}Prob > F      = {res}  0.0432
{txt}Total (centered) SS     = {res} 17.71223291{txt}{col 55}Centered R2   = {res}  0.0666
{txt}Total (uncentered) SS   = {res} 17.71223291{txt}{col 55}Uncentered R2 = {res}  0.0666
{txt}Residual SS             = {res} 16.53293981{txt}{col 55}Root MSE      = {res}   .3074

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0180952{col 26}{space 2} .0078675{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-.0335152{col 67}{space 3}-.0026752
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.838
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  71.585
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 100.445
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717
{col 23}_Iyear_1718 _Iyear_1719 _Iyear_1720 _Iyear_1728
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1739
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        221    .1976277    .4270854  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA14B.tex"'"':TableA14B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1710, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14B.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     221
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-21.67048{col 29}{space 2} 9.150688{col 40}{space 1}   -2.37{col 49}{space 3}0.019{col 57}{space 4}-39.76416{col 70}{space 3}-3.576788
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    5.61
{txt}  Prob > F      = {res}  0.0222
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    5.61
{txt}  Prob > F      = {res}  0.0222



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    5.61{col 28}  0.0222{col 37}{txt}|{col 42}{res}    6.85{col 51}  0.0088{col 60}{txt}|{col 65}{res}    5.61

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}5.14   {col 61}{txt}P-val={res}0.0234

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    3.72
Kleibergen-Paap Wald rk F statistic{col 65}    5.61

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   3.91{col 61}{txt}P-val={res}0.0540
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.78{col 61}{txt}P-val={res}0.0287
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.52{col 61}{txt}P-val={res}0.0605

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       221
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        36
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     221
{txt}{col 55}F(  1,    45) = {res}    2.69
{txt}{col 55}Prob > F      = {res}  0.1080
{txt}Total (centered) SS     = {res}  1163356977{txt}{col 55}Centered R2   = {res} -1.8049
{txt}Total (uncentered) SS   = {res}  1163356977{txt}{col 55}Uncentered R2 = {res} -1.8049
{txt}Residual SS             = {res}  3263045400{txt}{col 55}Root MSE      = {res}    4318

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-1005.748{col 26}{space 2} 554.7778{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-2093.092{col 67}{space 3} 81.59648
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.141
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0234
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   3.725
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   5.608
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717
{col 23}_Iyear_1718 _Iyear_1719 _Iyear_1720 _Iyear_1728
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1739
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        221    1179.672    3222.985  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14B.tex"'"':TableA14B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 21}_Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 16}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 16}_Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 16}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 16}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      4.8
{txt}{col 64}max{col 68}={col 70}{res}        9

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     221
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-21.67048{col 29}{space 2} 9.150688{col 40}{space 1}   -2.37{col 49}{space 3}0.019{col 57}{space 4}-39.76416{col 70}{space 3}-3.576788
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}    5.61
{txt}  Prob > F      = {res}  0.0222
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}    5.61
{txt}  Prob > F      = {res}  0.0222



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    5.61{col 28}  0.0222{col 37}{txt}|{col 42}{res}    6.85{col 51}  0.0088{col 60}{txt}|{col 65}{res}    5.61

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}5.14   {col 61}{txt}P-val={res}0.0234

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    3.72
Kleibergen-Paap Wald rk F statistic{col 65}    5.61

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   4.45{col 61}{txt}P-val={res}0.0404
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.44{col 61}{txt}P-val={res}0.0197
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.50{col 61}{txt}P-val={res}0.0614

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       221
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        36
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     221
{txt}{col 55}F(  1,    45) = {res}    2.52
{txt}{col 55}Prob > F      = {res}  0.1193
{txt}Total (centered) SS     = {res} 17.71223291{txt}{col 55}Centered R2   = {res} -1.0483
{txt}Total (uncentered) SS   = {res} 17.71223291{txt}{col 55}Uncentered R2 = {res} -1.0483
{txt}Residual SS             = {res} 36.28072315{txt}{col 55}Root MSE      = {res}   .4553

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0927365{col 26}{space 2} .0528217{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.1962651{col 67}{space 3} .0107921
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.141
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0234
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   3.725
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   5.608
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 23}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717
{col 23}_Iyear_1718 _Iyear_1719 _Iyear_1720 _Iyear_1728
{col 23}_Iyear_1731 _Iyear_1732 _Iyear_1734 _Iyear_1735
{col 23}_Iyear_1736 _Iyear_1737 _Iyear_1738 _Iyear_1739
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 23}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694
{col 23}_Iyear_1695 _Iyear_1696 _Iyear_1697 _Iyear_1698
{col 23}_Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 23}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709
{col 23}_Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        221    .1976277    .4270854  -1.098612   1.203973
{txt}{stata `"shellout using `"TableA14B.tex"'"':TableA14B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. **********************
. **Panel C - Post 1720
. **********************
. 
. *new members data
. 
. use newmembersdata, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshsold = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1720, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14C.tex, `replace' dec(3) nocons nor noni
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  6 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 21}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 21}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 16}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 16}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 16}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 16}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 16}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 16}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     121
{txt}Number of clusters (provcode) = {col 33}{res}    34
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 112.3736{col 29}{space 2} 12.78908{col 40}{space 1}    8.79{col 49}{space 3}0.000{col 57}{space 4} 86.80864{col 70}{space 3} 137.9387
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    33) = {res}   77.21
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    33) = {res}   77.21
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    33{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    33{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   77.21{col 28}  0.0000{col 37}{txt}|{col 42}{res}   99.43{col 51}  0.0000{col 60}{txt}|{col 65}{res}   77.21

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}12.30  {col 61}{txt}P-val={res}0.0005

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   47.83
Kleibergen-Paap Wald rk F statistic{col 65}   77.21

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}33{txt})={col 49}{res}   1.95{col 61}{txt}P-val={res}0.1721
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.51{col 61}{txt}P-val={res}0.1132
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.04{col 61}{txt}P-val={res}0.1531

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        34
{txt}Number of observations               N  = {res}       121
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        24
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    34{txt}{col 55}Number of obs = {res}     121
{txt}{col 55}F(  1,    33) = {res}    2.23
{txt}{col 55}Prob > F      = {res}  0.1447
{txt}Total (centered) SS     = {res} 874606313.2{txt}{col 55}Centered R2   = {res}  0.1305
{txt}Total (uncentered) SS   = {res} 874606313.2{txt}{col 55}Uncentered R2 = {res}  0.1305
{txt}Residual SS             = {res} 760441495.8{txt}{col 55}Root MSE      = {res}    2956

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 191.8769{col 26}{space 2} 113.1771{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-29.94607{col 67}{space 3} 413.6999
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  12.303
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0005
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  47.827
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  77.206
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689
{col 23}_Iyear_1690 _Iyear_1691 _Iyear_1692 _Iyear_1693
{col 23}_Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        127    1717.873    4010.402  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14C.tex"'"':TableA14C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14C.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  6 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 21}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 21}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 16}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 16}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 16}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 16}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 16}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 16}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     121
{txt}Number of clusters (provcode) = {col 33}{res}    34
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 112.3736{col 29}{space 2} 12.78908{col 40}{space 1}    8.79{col 49}{space 3}0.000{col 57}{space 4} 86.80864{col 70}{space 3} 137.9387
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    33) = {res}   77.21
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    33) = {res}   77.21
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    33{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    33{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   77.21{col 28}  0.0000{col 37}{txt}|{col 42}{res}   99.43{col 51}  0.0000{col 60}{txt}|{col 65}{res}   77.21

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}12.30  {col 61}{txt}P-val={res}0.0005

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   47.83
Kleibergen-Paap Wald rk F statistic{col 65}   77.21

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}33{txt})={col 49}{res}   2.13{col 61}{txt}P-val={res}0.1540
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.74{col 61}{txt}P-val={res}0.0978
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   1.87{col 61}{txt}P-val={res}0.1720

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        34
{txt}Number of observations               N  = {res}       121
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        24
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    34{txt}{col 55}Number of obs = {res}     121
{txt}{col 55}F(  1,    33) = {res}    2.41
{txt}{col 55}Prob > F      = {res}  0.1301
{txt}Total (centered) SS     = {res} 11.12574528{txt}{col 55}Centered R2   = {res}  0.1422
{txt}Total (uncentered) SS   = {res} 11.12574528{txt}{col 55}Uncentered R2 = {res}  0.1422
{txt}Residual SS             = {res} 9.543295494{txt}{col 55}Root MSE      = {res}   .3312

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0166258{col 26}{space 2} .0094367{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0018697{col 67}{space 3} .0351214
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  12.303
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0005
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  47.827
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  77.206
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689
{col 23}_Iyear_1690 _Iyear_1691 _Iyear_1692 _Iyear_1693
{col 23}_Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        127     .207284    .4504733  -1.038252   1.119125
{txt}{stata `"shellout using `"TableA14C.tex"'"':TableA14C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14C.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1720, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14C.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  6 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 21}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 21}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 16}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 16}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 16}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 16}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 16}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 16}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     121
{txt}Number of clusters (provcode) = {col 33}{res}    34
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-84.16225{col 29}{space 2} 12.88742{col 40}{space 1}   -6.53{col 49}{space 3}0.000{col 57}{space 4}-109.9238{col 70}{space 3}-58.40067
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    33) = {res}   42.65
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    33) = {res}   42.65
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    33{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    33{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   42.65{col 28}  0.0000{col 37}{txt}|{col 42}{res}   54.93{col 51}  0.0000{col 60}{txt}|{col 65}{res}   42.65

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}10.43  {col 61}{txt}P-val={res}0.0012

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   29.09
Kleibergen-Paap Wald rk F statistic{col 65}   42.65

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}33{txt})={col 49}{res}   1.95{col 61}{txt}P-val={res}0.1721
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.51{col 61}{txt}P-val={res}0.1132
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.04{col 61}{txt}P-val={res}0.1531

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        34
{txt}Number of observations               N  = {res}       121
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        24
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    34{txt}{col 55}Number of obs = {res}     121
{txt}{col 55}F(  1,    33) = {res}    2.36
{txt}{col 55}Prob > F      = {res}  0.1342
{txt}Total (centered) SS     = {res} 874606313.2{txt}{col 55}Centered R2   = {res}  0.1570
{txt}Total (uncentered) SS   = {res} 874606313.2{txt}{col 55}Uncentered R2 = {res}  0.1570
{txt}Residual SS             = {res} 737300131.3{txt}{col 55}Root MSE      = {res}    2911

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-256.1945{col 26}{space 2} 147.0297{col 37}{space 1}   -1.74{col 46}{space 3}0.081{col 54}{space 4}-544.3675{col 67}{space 3} 31.97843
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.428
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0012
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  29.090
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  42.648
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689
{col 23}_Iyear_1690 _Iyear_1691 _Iyear_1692 _Iyear_1693
{col 23}_Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        127    1717.873    4010.402  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14C.tex"'"':TableA14C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14C.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  6 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 21}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 21}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 16}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 16}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 16}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 16}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 16}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 16}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     121
{txt}Number of clusters (provcode) = {col 33}{res}    34
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-84.16225{col 29}{space 2} 12.88742{col 40}{space 1}   -6.53{col 49}{space 3}0.000{col 57}{space 4}-109.9238{col 70}{space 3}-58.40067
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    33) = {res}   42.65
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    33) = {res}   42.65
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    33{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    33{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   42.65{col 28}  0.0000{col 37}{txt}|{col 42}{res}   54.93{col 51}  0.0000{col 60}{txt}|{col 65}{res}   42.65

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}10.43  {col 61}{txt}P-val={res}0.0012

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   29.09
Kleibergen-Paap Wald rk F statistic{col 65}   42.65

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}33{txt})={col 49}{res}   2.13{col 61}{txt}P-val={res}0.1540
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.74{col 61}{txt}P-val={res}0.0978
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   1.87{col 61}{txt}P-val={res}0.1720

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        34
{txt}Number of observations               N  = {res}       121
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        24
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    34{txt}{col 55}Number of obs = {res}     121
{txt}{col 55}F(  1,    33) = {res}    2.70
{txt}{col 55}Prob > F      = {res}  0.1096
{txt}Total (centered) SS     = {res} 11.12574528{txt}{col 55}Centered R2   = {res}  0.1957
{txt}Total (uncentered) SS   = {res} 11.12574528{txt}{col 55}Uncentered R2 = {res}  0.1957
{txt}Residual SS             = {res} 8.948229604{txt}{col 55}Root MSE      = {res}   .3207

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0221989{col 26}{space 2} .0118961{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.0455148{col 67}{space 3} .0011171
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.428
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0012
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  29.090
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  42.648
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689
{col 23}_Iyear_1690 _Iyear_1691 _Iyear_1692 _Iyear_1693
{col 23}_Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        127     .207284    .4504733  -1.038252   1.119125
{txt}{stata `"shellout using `"TableA14C.tex"'"':TableA14C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14C.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) obyear1-obyear8 i.year distfuture if distfuture<=9 & year>=1720, fe cluster(provcode)
> first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA14C.tex, `replace' dec(3) nocons nor noni 
> adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  6 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 21}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 21}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 16}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 16}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 16}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 16}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 16}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 16}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     121
{txt}Number of clusters (provcode) = {col 33}{res}    34
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-51.36768{col 29}{space 2} 10.13964{col 40}{space 1}   -5.07{col 49}{space 3}0.000{col 57}{space 4}-71.63652{col 70}{space 3}-31.09883
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    33) = {res}   25.66
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    33) = {res}   25.66
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    33{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    33{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   25.66{col 28}  0.0000{col 37}{txt}|{col 42}{res}   33.05{col 51}  0.0000{col 60}{txt}|{col 65}{res}   25.66

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}9.35   {col 61}{txt}P-val={res}0.0022

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   14.92
Kleibergen-Paap Wald rk F statistic{col 65}   25.66

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}33{txt})={col 49}{res}   2.13{col 61}{txt}P-val={res}0.1538
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.75{col 61}{txt}P-val={res}0.0976
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.19{col 61}{txt}P-val={res}0.1385

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        34
{txt}Number of observations               N  = {res}       121
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        24
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    34{txt}{col 55}Number of obs = {res}     121
{txt}{col 55}F(  1,    33) = {res}    2.49
{txt}{col 55}Prob > F      = {res}  0.1245
{txt}Total (centered) SS     = {res} 874606313.2{txt}{col 55}Centered R2   = {res} -0.0241
{txt}Total (uncentered) SS   = {res} 874606313.2{txt}{col 55}Uncentered R2 = {res} -0.0241
{txt}Residual SS             = {res} 895696219.2{txt}{col 55}Root MSE      = {res}    3209

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-470.9074{col 26}{space 2} 263.2143{col 37}{space 1}   -1.79{col 46}{space 3}0.074{col 54}{space 4}-986.7978{col 67}{space 3} 44.98311
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.347
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0022
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.920
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.665
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689
{col 23}_Iyear_1690 _Iyear_1691 _Iyear_1692 _Iyear_1693
{col 23}_Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        127    1717.873    4010.402  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA14C.tex"'"':TableA14C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14C.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
{res}Warning - singleton groups detected.  6 observation(s) not used.
{txt}Warning - collinearities detected
Vars dropped:{col 21}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 21}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 21}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 21}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 21}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 21}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 21}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 21}_Iyear_1750 _Iyear_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7
{txt}Warning - collinearities detected
Vars dropped:{col 16}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689 _Iyear_1690
{col 16}_Iyear_1691 _Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 16}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699 _Iyear_1700
{col 16}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 16}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712 _Iyear_1713
{col 16}_Iyear_1714 _Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 16}_Iyear_1719 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1739
{col 16}_Iyear_1750 _Iyear_1751

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       34{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      3.6
{txt}{col 64}max{col 68}={col 70}{res}        7

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     121
{txt}Number of clusters (provcode) = {col 33}{res}    34
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-51.36768{col 29}{space 2} 10.13964{col 40}{space 1}   -5.07{col 49}{space 3}0.000{col 57}{space 4}-71.63652{col 70}{space 3}-31.09883
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    33) = {res}   25.66
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    33) = {res}   25.66
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    33{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    33{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   25.66{col 28}  0.0000{col 37}{txt}|{col 42}{res}   33.05{col 51}  0.0000{col 60}{txt}|{col 65}{res}   25.66

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}9.35   {col 61}{txt}P-val={res}0.0022

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   14.92
Kleibergen-Paap Wald rk F statistic{col 65}   25.66

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}33{txt})={col 49}{res}   2.65{col 61}{txt}P-val={res}0.1129
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.42{col 61}{txt}P-val={res}0.0645
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   2.19{col 61}{txt}P-val={res}0.1385

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        34
{txt}Number of observations               N  = {res}       121
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        24
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    34{txt}{col 55}Number of obs = {res}     121
{txt}{col 55}F(  1,    33) = {res}    3.09
{txt}{col 55}Prob > F      = {res}  0.0878
{txt}Total (centered) SS     = {res} 11.12574528{txt}{col 55}Centered R2   = {res}  0.0433
{txt}Total (uncentered) SS   = {res} 11.12574528{txt}{col 55}Uncentered R2 = {res}  0.0433
{txt}Residual SS             = {res} 10.64437985{txt}{col 55}Root MSE      = {res}   .3498

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0426384{col 26}{space 2} .0213577{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4}-.0844987{col 67}{space 3}-.0007782
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.347
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0022
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.920
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.665
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 obyear7 distfuture
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}obyear3 obyear6 obyear8 _Iyear_1688 _Iyear_1689
{col 23}_Iyear_1690 _Iyear_1691 _Iyear_1692 _Iyear_1693
{col 23}_Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 23}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1733 _Iyear_1739 _Iyear_1750
{col 23}_Iyear_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        127     .207284    .4504733  -1.038252   1.119125
{txt}{stata `"shellout using `"TableA14C.tex"'"':TableA14C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA14C.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. 
. ***************************************************************
. ***TABLE A.15: Effects of Epidemics and Revisitas
. ***************************************************************
. 
. *PANEL A: Eliminating Cuzco and Huamanga
. 
. *new members data
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. drop if provincia=="Ciudad Cuzco" | provincia=="Huamanga"
{txt}(19 observations deleted)

{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshsold = totspanishdeath) i.year obyear1-obyear8 distfuture if distfuture<=9, fe cluster(provcode) first
>  partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15A.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     288
{txt}Number of clusters (provcode) = {col 33}{res}    44
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 145.7733{col 29}{space 2} 14.13015{col 40}{space 1}   10.32{col 49}{space 3}0.000{col 57}{space 4} 117.9021{col 70}{space 3} 173.6445
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    43) = {res}  106.43
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    43) = {res}  106.43
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    43{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    43{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  106.43{col 28}  0.0000{col 37}{txt}|{col 42}{res}  133.00{col 51}  0.0000{col 60}{txt}|{col 65}{res}  106.43

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.04  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   65.32
Kleibergen-Paap Wald rk F statistic{col 65}  106.43

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}43{txt})={col 49}{res}   5.05{col 61}{txt}P-val={res}0.0298
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.31{col 61}{txt}P-val={res}0.0120
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.11{col 61}{txt}P-val={res}0.0427

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        44
{txt}Number of observations               N  = {res}       288
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        52
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    44{txt}{col 55}Number of obs = {res}     288
{txt}{col 55}F(  1,    43) = {res}    5.18
{txt}{col 55}Prob > F      = {res}  0.0280
{txt}Total (centered) SS     = {res}  1335983986{txt}{col 55}Centered R2   = {res} -0.0504
{txt}Total (uncentered) SS   = {res}  1335983986{txt}{col 55}Uncentered R2 = {res} -0.0504
{txt}Residual SS             = {res}  1403378039{txt}{col 55}Root MSE      = {res}    2398

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 152.5399{col 26}{space 2} 59.98066{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} 34.97998{col 67}{space 3} 270.0999
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.037
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.322
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 106.430
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        288    840.8862    2900.362  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA15A.tex"'"':TableA15A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     288
{txt}Number of clusters (provcode) = {col 33}{res}    44
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 145.7733{col 29}{space 2} 14.13015{col 40}{space 1}   10.32{col 49}{space 3}0.000{col 57}{space 4} 117.9021{col 70}{space 3} 173.6445
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    43) = {res}  106.43
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    43) = {res}  106.43
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    43{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    43{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}  106.43{col 28}  0.0000{col 37}{txt}|{col 42}{res}  133.00{col 51}  0.0000{col 60}{txt}|{col 65}{res}  106.43

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.04  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   65.32
Kleibergen-Paap Wald rk F statistic{col 65}  106.43

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}43{txt})={col 49}{res}   9.59{col 61}{txt}P-val={res}0.0034
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.98{col 61}{txt}P-val={res}0.0005
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.89{col 61}{txt}P-val={res}0.0152

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        44
{txt}Number of observations               N  = {res}       288
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        52
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    44{txt}{col 55}Number of obs = {res}     288
{txt}{col 55}F(  1,    43) = {res}    9.03
{txt}{col 55}Prob > F      = {res}  0.0044
{txt}Total (centered) SS     = {res} 27.20938396{txt}{col 55}Centered R2   = {res} -0.0101
{txt}Total (uncentered) SS   = {res} 27.20938396{txt}{col 55}Uncentered R2 = {res} -0.0101
{txt}Residual SS             = {res}  27.4854785{txt}{col 55}Root MSE      = {res}   .3356

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0169116{col 26}{space 2} .0050333{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0070464{col 67}{space 3} .0267767
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.037
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  65.322
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 106.430
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        288    .1416271    .4268164  -1.252763   1.203973
{txt}{stata `"shellout using `"TableA15A.tex"'"':TableA15A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) i.year obyear1-obyear8 distfuture if distfuture<=9, fe cluster(provcode) first
>  partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15A.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     288
{txt}Number of clusters (provcode) = {col 33}{res}    44
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-145.4279{col 29}{space 2} 14.11227{col 40}{space 1}  -10.31{col 49}{space 3}0.000{col 57}{space 4}-173.2638{col 70}{space 3}-117.5919
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    43) = {res}  106.19
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    43) = {res}  106.19
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    43{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    43{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}  106.19{col 28}  0.0000{col 37}{txt}|{col 42}{res}  132.71{col 51}  0.0000{col 60}{txt}|{col 65}{res}  106.19

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.26  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   62.89
Kleibergen-Paap Wald rk F statistic{col 65}  106.19

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}43{txt})={col 49}{res}   5.05{col 61}{txt}P-val={res}0.0298
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.31{col 61}{txt}P-val={res}0.0120
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.11{col 61}{txt}P-val={res}0.0427

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        44
{txt}Number of observations               N  = {res}       288
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        52
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    44{txt}{col 55}Number of obs = {res}     288
{txt}{col 55}F(  1,    43) = {res}    5.32
{txt}{col 55}Prob > F      = {res}  0.0259
{txt}Total (centered) SS     = {res}  1335983986{txt}{col 55}Centered R2   = {res} -0.0285
{txt}Total (uncentered) SS   = {res}  1335983986{txt}{col 55}Uncentered R2 = {res} -0.0285
{txt}Residual SS             = {res}  1374120829{txt}{col 55}Root MSE      = {res}    2373

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-152.9023{col 26}{space 2}  59.2745{col 37}{space 1}   -2.58{col 46}{space 3}0.010{col 54}{space 4}-269.0782{col 67}{space 3}-36.72637
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.260
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  62.893
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 106.194
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        288    840.8862    2900.362  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA15A.tex"'"':TableA15A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       44{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     288
{txt}Number of clusters (provcode) = {col 33}{res}    44
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-145.4279{col 29}{space 2} 14.11227{col 40}{space 1}  -10.31{col 49}{space 3}0.000{col 57}{space 4}-173.2638{col 70}{space 3}-117.5919
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    43) = {res}  106.19
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    43) = {res}  106.19
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    43{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    43{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}  106.19{col 28}  0.0000{col 37}{txt}|{col 42}{res}  132.71{col 51}  0.0000{col 60}{txt}|{col 65}{res}  106.19

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}17.26  {col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   62.89
Kleibergen-Paap Wald rk F statistic{col 65}  106.19

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}43{txt})={col 49}{res}   9.59{col 61}{txt}P-val={res}0.0034
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  11.98{col 61}{txt}P-val={res}0.0005
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.89{col 61}{txt}P-val={res}0.0152

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        44
{txt}Number of observations               N  = {res}       288
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        52
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    44{txt}{col 55}Number of obs = {res}     288
{txt}{col 55}F(  1,    43) = {res}    9.05
{txt}{col 55}Prob > F      = {res}  0.0044
{txt}Total (centered) SS     = {res} 27.20938396{txt}{col 55}Centered R2   = {res}  0.0021
{txt}Total (uncentered) SS   = {res} 27.20938396{txt}{col 55}Uncentered R2 = {res}  0.0021
{txt}Residual SS             = {res}  27.1512054{txt}{col 55}Root MSE      = {res}   .3336

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0169517{col 26}{space 2}  .005041{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-.0268319{col 67}{space 3}-.0070716
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  17.260
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  62.893
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 106.194
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1740 _Iyear_1741 _Iyear_1742 _Iyear_1744
{col 23}_Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 23}_Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        288    .1416271    .4268164  -1.252763   1.203973
{txt}{stata `"shellout using `"TableA15A.tex"'"':TableA15A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) i.year obyear1-obyear8 distfuture if distfuture<=9, fe cluster(provcode) first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15A.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-37.56215{col 29}{space 2} 8.809902{col 40}{space 1}   -4.26{col 49}{space 3}0.000{col 57}{space 4}-54.93437{col 70}{space 3}-20.18994
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}   18.18
{txt}  Prob > F      = {res}  0.0001
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}   18.18
{txt}  Prob > F      = {res}  0.0001



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   18.18{col 28}  0.0001{col 37}{txt}|{col 42}{res}   22.66{col 51}  0.0000{col 60}{txt}|{col 65}{res}   18.18

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}9.69   {col 61}{txt}P-val={res}0.0018

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   13.26
Kleibergen-Paap Wald rk F statistic{col 65}   18.18

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   5.21{col 61}{txt}P-val={res}0.0273
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   6.49{col 61}{txt}P-val={res}0.0108
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.19{col 61}{txt}P-val={res}0.0406

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    5.54
{txt}{col 55}Prob > F      = {res}  0.0230
{txt}Total (centered) SS     = {res}  1344355223{txt}{col 55}Centered R2   = {res} -0.9442
{txt}Total (uncentered) SS   = {res}  1344355223{txt}{col 55}Uncentered R2 = {res} -0.9442
{txt}Residual SS             = {res}  2613723106{txt}{col 55}Root MSE      = {res}    3202

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-653.0797{col 26}{space 2} 248.5017{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-1140.134{col 67}{space 3}-166.0253
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.693
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0018
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.258
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  18.179
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        301    858.2614    2876.595  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA15A.tex"'"':TableA15A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15A.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       46{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     301
{txt}Number of clusters (provcode) = {col 33}{res}    46
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-37.56215{col 29}{space 2} 8.809902{col 40}{space 1}   -4.26{col 49}{space 3}0.000{col 57}{space 4}-54.93437{col 70}{space 3}-20.18994
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    45) = {res}   18.18
{txt}  Prob > F      = {res}  0.0001
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    45) = {res}   18.18
{txt}  Prob > F      = {res}  0.0001



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    45{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    45{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   18.18{col 28}  0.0001{col 37}{txt}|{col 42}{res}   22.66{col 51}  0.0000{col 60}{txt}|{col 65}{res}   18.18

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}9.69   {col 61}{txt}P-val={res}0.0018

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   13.26
Kleibergen-Paap Wald rk F statistic{col 65}   18.18

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}45{txt})={col 49}{res}   9.77{col 61}{txt}P-val={res}0.0031
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  12.18{col 61}{txt}P-val={res}0.0005
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   5.95{col 61}{txt}P-val={res}0.0147

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        46
{txt}Number of observations               N  = {res}       301
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        54
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    46{txt}{col 55}Number of obs = {res}     301
{txt}{col 55}F(  1,    45) = {res}    6.87
{txt}{col 55}Prob > F      = {res}  0.0119
{txt}Total (centered) SS     = {res} 28.17625342{txt}{col 55}Centered R2   = {res} -0.6255
{txt}Total (uncentered) SS   = {res} 28.17625342{txt}{col 55}Uncentered R2 = {res} -0.6255
{txt}Residual SS             = {res} 45.79939304{txt}{col 55}Root MSE      = {res}   .4238

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0718619{col 26}{space 2} .0245552{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.1199892{col 67}{space 3}-.0237346
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.693
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0018
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.258
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  18.179
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 distfuture
{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        301    .1435135    .4284629  -1.252763   1.203973
{txt}{stata `"shellout using `"TableA15A.tex"'"':TableA15A.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15A.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. **PANEL B: Eliminating Provinces "Revisited"
. 
. use newmembersdata.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshsold = totspanishdeath) i.year obyear1-obyear8 distfuture if distfuture<=9 & revisita==0, fe cluster(provcode) first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15B.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear3 obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear3 obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     187
{txt}Number of clusters (provcode) = {col 33}{res}    31
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.2271{col 29}{space 2} 16.82181{col 40}{space 1}    8.69{col 49}{space 3}0.000{col 57}{space 4} 112.8611{col 70}{space 3}  179.593
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    30) = {res}   75.56
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    30) = {res}   75.56
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    30{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    30{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   75.56{col 28}  0.0000{col 37}{txt}|{col 42}{res}  109.20{col 51}  0.0000{col 60}{txt}|{col 65}{res}   75.56

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}10.23  {col 61}{txt}P-val={res}0.0014

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   41.49
Kleibergen-Paap Wald rk F statistic{col 65}   75.56

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}30{txt})={col 49}{res}   6.96{col 61}{txt}P-val={res}0.0131
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  10.05{col 61}{txt}P-val={res}0.0015
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.36{col 61}{txt}P-val={res}0.0367

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        31
{txt}Number of observations               N  = {res}       187
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        53
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    31{txt}{col 55}Number of obs = {res}     187
{txt}{col 55}F(  1,    30) = {res}    7.55
{txt}{col 55}Prob > F      = {res}  0.0100
{txt}Total (centered) SS     = {res} 401083401.2{txt}{col 55}Centered R2   = {res} -0.1048
{txt}Total (uncentered) SS   = {res} 401083401.2{txt}{col 55}Uncentered R2 = {res} -0.1048
{txt}Residual SS             = {res}   443103382{txt}{col 55}Root MSE      = {res}    1685

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} 111.0084{col 26}{space 2} 33.60282{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} 45.14808{col 67}{space 3} 176.8687
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.231
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0014
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  41.489
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  75.563
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 distfuture _Iyear_1688
{col 23}_Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear3 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        187    802.0772    2372.642  -8184.776   11225.66
{txt}{stata `"shellout using `"TableA15B.tex"'"':TableA15B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear3 obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear3 obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshsold:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     187
{txt}Number of clusters (provcode) = {col 33}{res}    31
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       chshsold{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} 146.2271{col 29}{space 2} 16.82181{col 40}{space 1}    8.69{col 49}{space 3}0.000{col 57}{space 4} 112.8611{col 70}{space 3}  179.593
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    30) = {res}   75.56
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    30) = {res}   75.56
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    30{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    30{txt})
{res}chshsold    {col 14}{txt}|{col 18}{res}   75.56{col 28}  0.0000{col 37}{txt}|{col 42}{res}  109.20{col 51}  0.0000{col 60}{txt}|{col 65}{res}   75.56

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}10.23  {col 61}{txt}P-val={res}0.0014

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   41.49
Kleibergen-Paap Wald rk F statistic{col 65}   75.56

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}30{txt})={col 49}{res}   6.37{col 61}{txt}P-val={res}0.0172
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   9.20{col 61}{txt}P-val={res}0.0024
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.90{col 61}{txt}P-val={res}0.0483

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        31
{txt}Number of observations               N  = {res}       187
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        53
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    31{txt}{col 55}Number of obs = {res}     187
{txt}{col 55}F(  1,    30) = {res}    5.64
{txt}{col 55}Prob > F      = {res}  0.0242
{txt}Total (centered) SS     = {res} 14.76009505{txt}{col 55}Centered R2   = {res} -0.0719
{txt}Total (uncentered) SS   = {res} 14.76009505{txt}{col 55}Uncentered R2 = {res} -0.0719
{txt}Residual SS             = {res} 15.82177886{txt}{col 55}Root MSE      = {res}   .3185

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshsold {c |}{col 14}{res}{space 2} .0198086{col 26}{space 2}  .006941{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0062046{col 67}{space 3} .0334126
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.231
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0014
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  41.489
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  75.563
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 distfuture _Iyear_1688
{col 23}_Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear3 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        187    .1352124    .4216648  -1.252763   1.098634
{txt}{stata `"shellout using `"TableA15B.tex"'"':TableA15B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) i.year obyear1-obyear8 distfuture if distfuture<=9 & revisita==0, fe cluster(provcode) first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15B.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear3 obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear3 obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     187
{txt}Number of clusters (provcode) = {col 33}{res}    31
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} -142.366{col 29}{space 2} 16.60757{col 40}{space 1}   -8.57{col 49}{space 3}0.000{col 57}{space 4} -175.307{col 70}{space 3} -109.425
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    30) = {res}   73.49
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    30) = {res}   73.49
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    30{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    30{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   73.49{col 28}  0.0000{col 37}{txt}|{col 42}{res}  106.19{col 51}  0.0000{col 60}{txt}|{col 65}{res}   73.49

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}10.76  {col 61}{txt}P-val={res}0.0010

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   37.68
Kleibergen-Paap Wald rk F statistic{col 65}   73.49

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}30{txt})={col 49}{res}   6.96{col 61}{txt}P-val={res}0.0131
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  10.05{col 61}{txt}P-val={res}0.0015
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.36{col 61}{txt}P-val={res}0.0367

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        31
{txt}Number of observations               N  = {res}       187
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        53
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    31{txt}{col 55}Number of obs = {res}     187
{txt}{col 55}F(  1,    30) = {res}    7.08
{txt}{col 55}Prob > F      = {res}  0.0124
{txt}Total (centered) SS     = {res} 401083401.2{txt}{col 55}Centered R2   = {res} -0.0845
{txt}Total (uncentered) SS   = {res} 401083401.2{txt}{col 55}Uncentered R2 = {res} -0.0845
{txt}Residual SS             = {res} 434992110.2{txt}{col 55}Root MSE      = {res}    1670

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2} -114.019{col 26}{space 2} 35.63888{col 37}{space 1}   -3.20{col 46}{space 3}0.001{col 54}{space 4}-183.8699{col 67}{space 3}-44.16808
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.764
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0010
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  37.683
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  73.485
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 distfuture _Iyear_1688
{col 23}_Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear3 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        187    802.0772    2372.642  -8184.776   11225.66
{txt}{stata `"shellout using `"TableA15B.tex"'"':TableA15B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear3 obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear3 obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     187
{txt}Number of clusters (provcode) = {col 33}{res}    31
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2} -142.366{col 29}{space 2} 16.60757{col 40}{space 1}   -8.57{col 49}{space 3}0.000{col 57}{space 4} -175.307{col 70}{space 3} -109.425
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    30) = {res}   73.49
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    30) = {res}   73.49
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    30{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    30{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}   73.49{col 28}  0.0000{col 37}{txt}|{col 42}{res}  106.19{col 51}  0.0000{col 60}{txt}|{col 65}{res}   73.49

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}10.76  {col 61}{txt}P-val={res}0.0010

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}   37.68
Kleibergen-Paap Wald rk F statistic{col 65}   73.49

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}30{txt})={col 49}{res}   6.37{col 61}{txt}P-val={res}0.0172
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   9.20{col 61}{txt}P-val={res}0.0024
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   3.90{col 61}{txt}P-val={res}0.0483

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        31
{txt}Number of observations               N  = {res}       187
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        53
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    31{txt}{col 55}Number of obs = {res}     187
{txt}{col 55}F(  1,    30) = {res}    5.15
{txt}{col 55}Prob > F      = {res}  0.0305
{txt}Total (centered) SS     = {res} 14.76009505{txt}{col 55}Centered R2   = {res} -0.0825
{txt}Total (uncentered) SS   = {res} 14.76009505{txt}{col 55}Uncentered R2 = {res} -0.0825
{txt}Residual SS             = {res} 15.97751662{txt}{col 55}Root MSE      = {res}     .32

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0203458{col 26}{space 2} .0074545{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.0349564{col 67}{space 3}-.0057353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.764
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0010
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  37.683
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  73.485
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 distfuture _Iyear_1688
{col 23}_Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear3 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        187    .1352124    .4216648  -1.252763   1.098634
{txt}{stata `"shellout using `"TableA15B.tex"'"':TableA15B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition.dta, clear
{txt}
{com}. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) i.year obyear1-obyear8 distfuture if distfuture<=9 & revisita==0, fe cluster(provcode) first partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15B.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear3 obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear3 obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     187
{txt}Number of clusters (provcode) = {col 33}{res}    31
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-34.32179{col 29}{space 2}  13.2686{col 40}{space 1}   -2.59{col 49}{space 3}0.011{col 57}{space 4}-60.63999{col 70}{space 3}-8.003592
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    30) = {res}    6.69
{txt}  Prob > F      = {res}  0.0148
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    30) = {res}    6.69
{txt}  Prob > F      = {res}  0.0148



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    30{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    30{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    6.69{col 28}  0.0148{col 37}{txt}|{col 42}{res}    9.67{col 51}  0.0019{col 60}{txt}|{col 65}{res}    6.69

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}4.62   {col 61}{txt}P-val={res}0.0315

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    5.72
Kleibergen-Paap Wald rk F statistic{col 65}    6.69

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}30{txt})={col 49}{res}   7.48{col 61}{txt}P-val={res}0.0104
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  10.81{col 61}{txt}P-val={res}0.0010
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.48{col 61}{txt}P-val={res}0.0344

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        31
{txt}Number of observations               N  = {res}       187
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        53
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    31{txt}{col 55}Number of obs = {res}     187
{txt}{col 55}F(  1,    30) = {res}    4.39
{txt}{col 55}Prob > F      = {res}  0.0446
{txt}Total (centered) SS     = {res} 401083401.2{txt}{col 55}Centered R2   = {res} -1.1167
{txt}Total (uncentered) SS   = {res} 401083401.2{txt}{col 55}Uncentered R2 = {res} -1.1167
{txt}Residual SS             = {res} 848963447.2{txt}{col 55}Root MSE      = {res}    2333

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    difprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-518.5037{col 26}{space 2} 205.7604{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-921.7867{col 67}{space 3}-115.2207
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   4.625
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0315
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   5.721
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   6.691
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 distfuture _Iyear_1688
{col 23}_Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear3 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        187    802.0772    2372.642  -8184.776   11225.66
{txt}{stata `"shellout using `"TableA15B.tex"'"':TableA15B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15B.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
Warning - collinearities detected
Vars dropped:{col 21}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 21}obyear3 obyear6 obyear7 obyear8
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - collinearities detected
Vars dropped:{col 16}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733 _Iyear_1751
{col 16}obyear3 obyear6 obyear7 obyear8

First-stage regressions
{hline 23}


FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       31{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.0
{txt}{col 64}max{col 68}={col 70}{res}       13

{txt}First-stage regression of chshspain:

Statistics robust to heteroskedasticity and clustering on provcode
Number of obs = {col 31}{res}     187
{txt}Number of clusters (provcode) = {col 33}{res}    31
{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      chshspain{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
totspanishdeath {c |}{col 17}{res}{space 2}-34.32179{col 29}{space 2}  13.2686{col 40}{space 1}   -2.59{col 49}{space 3}0.011{col 57}{space 4}-60.63999{col 70}{space 3}-8.003592
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,    30) = {res}    6.69
{txt}  Prob > F      = {res}  0.0148
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,    30) = {res}    6.69
{txt}  Prob > F      = {res}  0.0148



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}    30{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}    30{txt})
{res}chshspain   {col 14}{txt}|{col 18}{res}    6.69{col 28}  0.0148{col 37}{txt}|{col 42}{res}    9.67{col 51}  0.0019{col 60}{txt}|{col 65}{res}    6.69

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}4.62   {col 61}{txt}P-val={res}0.0315

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}    5.72
Kleibergen-Paap Wald rk F statistic{col 65}    6.69

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}30{txt})={col 49}{res}   7.03{col 61}{txt}P-val={res}0.0127
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  10.17{col 61}{txt}P-val={res}0.0014
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}   4.06{col 61}{txt}P-val={res}0.0438

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}        31
{txt}Number of observations               N  = {res}       187
{txt}Number of regressors                 K  = {res}         1
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}         1
{txt}Number of excluded instruments       L1 = {res}         1
{txt}Number of partialled-out regressors/IVs = {res}        53
{txt}NB: K & L do not included partialled-out variables

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    31{txt}{col 55}Number of obs = {res}     187
{txt}{col 55}F(  1,    30) = {res}    4.45
{txt}{col 55}Prob > F      = {res}  0.0435
{txt}Total (centered) SS     = {res} 14.76009505{txt}{col 55}Centered R2   = {res} -1.0405
{txt}Total (uncentered) SS   = {res} 14.76009505{txt}{col 55}Uncentered R2 = {res} -1.0405
{txt}Residual SS             = {res} 30.11831946{txt}{col 55}Root MSE      = {res}   .4394

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     lgprice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}chshspain {c |}{col 14}{res}{space 2}-.0929906{col 26}{space 2} .0366894{col 37}{space 1}   -2.53{col 46}{space 3}0.011{col 54}{space 4}-.1649005{col 67}{space 3}-.0210807
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   4.625
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0315
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   5.721
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   6.691
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear4 obyear5 distfuture _Iyear_1688
{col 23}_Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 23}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696
{col 23}_Iyear_1697 _Iyear_1698 _Iyear_1700 _Iyear_1704
{col 23}_Iyear_1705 _Iyear_1706 _Iyear_1707 _Iyear_1708
{col 23}_Iyear_1709 _Iyear_1710 _Iyear_1711 _Iyear_1712
{col 23}_Iyear_1713 _Iyear_1714 _Iyear_1715 _Iyear_1716
{col 23}_Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 23}_Iyear_1728 _Iyear_1731 _Iyear_1732 _Iyear_1734
{col 23}_Iyear_1735 _Iyear_1736 _Iyear_1737 _Iyear_1738
{col 23}_Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 23}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747
{col 23}_Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}_Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 23}_Iyear_1751 obyear3 obyear6 obyear7 obyear8
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        187    .1352124    .4216648  -1.252763   1.098634
{txt}{stata `"shellout using `"TableA15B.tex"'"':TableA15B.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15B.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. 
. **PANEL C: Controlling for alternatives e.g. wages, bishop seats, "forasteros"
. 
. *new members data
. 
. use newmembersdata, clear
{txt}
{com}. 
. gen bishyear = bishop*year
{txt}
{com}. gen wageyear = wage*year
{txt}
{com}. gen lforaster = log(forastero)
{txt}(49 missing values generated)

{com}. gen forasteroyear = lforaster*year
{txt}(49 missing values generated)

{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace replace;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshsold = totspanishdeath) forasteroyear bishyear wageyear obyear1-obyear8 i.year*bishop i.year*wage i.year*lforaster i.year distfuture if distfuture<=9, fe cluster(provcode) partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15C.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.year*bishop{col 19}_IyeaXbis_#{col 39}(coded as above)
i.year*wage{col 19}_IyeaXwag_#{col 39}(coded as above)
i.year*lforas~r{col 19}_IyeaXlfo_#{col 39}(coded as above)
Warning - duplicate variables detected
Duplicates:{col 21}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 21}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 21}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 21}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 21}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 21}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 21}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 21}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 21}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 21}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 21}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695
{col 21}_IyeaXbis_1696 _IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699
{col 21}_IyeaXbis_1700 _IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 21}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710
{col 21}_IyeaXbis_1713 _IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728
{col 21}_IyeaXbis_1729 _IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 21}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739
{col 21}_IyeaXbis_1740 _IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748
{col 21}_IyeaXbis_1749 _IyeaXbis_1750 _IyeaXbis_1751 wage
{col 21}_IyeaXwag_1689 _IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 21}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710 _IyeaXwag_1714
{col 21}_IyeaXwag_1720 _IyeaXwag_1729 _IyeaXwag_1730 _IyeaXwag_1731
{col 21}_IyeaXwag_1733 _IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 21}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 21}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700 _IyeaXlfo_1704
{col 21}_IyeaXlfo_1707 _IyeaXlfo_1709 _IyeaXlfo_1714 _IyeaXlfo_1717
{col 21}_IyeaXlfo_1720 _IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 21}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739 _IyeaXlfo_1741
{col 21}_IyeaXlfo_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       41{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - duplicate variables detected
Duplicates:{col 16}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 16}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 16}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 16}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 16}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 16}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 16}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 16}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 16}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 16}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690 _IyeaXbis_1691
{col 16}_IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695 _IyeaXbis_1696
{col 16}_IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 16}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706 _IyeaXbis_1707
{col 16}_IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710 _IyeaXbis_1713
{col 16}_IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 16}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732 _IyeaXbis_1733
{col 16}_IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739 _IyeaXbis_1740
{col 16}_IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 16}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689 _IyeaXwag_1691
{col 16}_IyeaXwag_1699 _IyeaXwag_1704 _IyeaXwag_1706 _IyeaXwag_1707
{col 16}_IyeaXwag_1710 _IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 16}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733 _IyeaXwag_1736
{col 16}_IyeaXwag_1739 _IyeaXwag_1749 _IyeaXwag_1750 _IyeaXwag_1751
{col 16}lforaster _IyeaXlfo_1691 _IyeaXlfo_1698 _IyeaXlfo_1699
{col 16}_IyeaXlfo_1700 _IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 16}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720 _IyeaXlfo_1729
{col 16}_IyeaXlfo_1730 _IyeaXlfo_1731 _IyeaXlfo_1733 _IyeaXlfo_1736
{col 16}_IyeaXlfo_1739 _IyeaXlfo_1741 _IyeaXlfo_1751

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    41{txt}{col 55}Number of obs = {res}     268
{txt}{col 55}F(  4,    40) = {res}    1.24
{txt}{col 55}Prob > F      = {res}  0.3103
{txt}Total (centered) SS     = {res}   674223189{txt}{col 55}Centered R2   = {res}  0.0256
{txt}Total (uncentered) SS   = {res}   674223189{txt}{col 55}Uncentered R2 = {res}  0.0256
{txt}Residual SS             = {res}   656991043{txt}{col 55}Root MSE      = {res}    1701

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difprice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}chshsold {c |}{col 15}{res}{space 2} 158.6689{col 27}{space 2} 57.53775{col 38}{space 1}    2.76{col 47}{space 3}0.006{col 55}{space 4} 45.89704{col 68}{space 3} 271.4409
{txt}forasteroyear {c |}{col 15}{res}{space 2} 314886.4{col 27}{space 2} 613731.1{col 38}{space 1}    0.51{col 47}{space 3}0.608{col 55}{space 4}-888004.5{col 68}{space 3}  1517777
{txt}{space 5}bishyear {c |}{col 15}{res}{space 2} 54908.76{col 27}{space 2} 19602.74{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4}  16488.1{col 68}{space 3} 93329.43
{txt}{space 5}wageyear {c |}{col 15}{res}{space 2}-8.607157{col 27}{space 2} 10.61562{col 38}{space 1}   -0.81{col 47}{space 3}0.417{col 55}{space 4}-29.41338{col 68}{space 3} 12.19907
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.196
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0008
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  25.290
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.464
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Included instruments:{col 23}forasteroyear bishyear wageyear
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _IyeaXbis_1688
{col 23}_IyeaXbis_1689 _IyeaXbis_1692 _IyeaXbis_1711
{col 23}_IyeaXbis_1712 _IyeaXbis_1714 _IyeaXbis_1715
{col 23}_IyeaXbis_1716 _IyeaXbis_1718 _IyeaXbis_1719
{col 23}_IyeaXbis_1734 _IyeaXbis_1737 _IyeaXbis_1738
{col 23}_IyeaXbis_1741 _IyeaXbis_1742 _IyeaXbis_1745
{col 23}_IyeaXbis_1747 _IyeaXwag_1688 _IyeaXwag_1690
{col 23}_IyeaXwag_1692 _IyeaXwag_1693 _IyeaXwag_1694
{col 23}_IyeaXwag_1695 _IyeaXwag_1696 _IyeaXwag_1697
{col 23}_IyeaXwag_1698 _IyeaXwag_1700 _IyeaXwag_1705
{col 23}_IyeaXwag_1708 _IyeaXwag_1709 _IyeaXwag_1711
{col 23}_IyeaXwag_1712 _IyeaXwag_1713 _IyeaXwag_1715
{col 23}_IyeaXwag_1716 _IyeaXwag_1717 _IyeaXwag_1718
{col 23}_IyeaXwag_1719 _IyeaXwag_1728 _IyeaXwag_1732
{col 23}_IyeaXwag_1734 _IyeaXwag_1735 _IyeaXwag_1737
{col 23}_IyeaXwag_1738 _IyeaXwag_1740 _IyeaXwag_1741
{col 23}_IyeaXwag_1742 _IyeaXwag_1744 _IyeaXwag_1745
{col 23}_IyeaXwag_1746 _IyeaXwag_1747 _IyeaXwag_1748
{col 23}_IyeaXlfo_1688 _IyeaXlfo_1689 _IyeaXlfo_1690
{col 23}_IyeaXlfo_1692 _IyeaXlfo_1693 _IyeaXlfo_1694
{col 23}_IyeaXlfo_1695 _IyeaXlfo_1696 _IyeaXlfo_1697
{col 23}_IyeaXlfo_1705 _IyeaXlfo_1706 _IyeaXlfo_1708
{col 23}_IyeaXlfo_1710 _IyeaXlfo_1711 _IyeaXlfo_1712
{col 23}_IyeaXlfo_1713 _IyeaXlfo_1715 _IyeaXlfo_1716
{col 23}_IyeaXlfo_1718 _IyeaXlfo_1719 _IyeaXlfo_1728
{col 23}_IyeaXlfo_1732 _IyeaXlfo_1734 _IyeaXlfo_1735
{col 23}_IyeaXlfo_1737 _IyeaXlfo_1738 _IyeaXlfo_1740
{col 23}_IyeaXlfo_1742 _IyeaXlfo_1744 _IyeaXlfo_1745
{col 23}_IyeaXlfo_1746 _IyeaXlfo_1747 _IyeaXlfo_1748
{col 23}_IyeaXlfo_1749 _IyeaXlfo_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iyear_1751
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 23}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694
{col 23}_IyeaXbis_1695 _IyeaXbis_1696 _IyeaXbis_1697
{col 23}_IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 23}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 23}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709
{col 23}_IyeaXbis_1710 _IyeaXbis_1713 _IyeaXbis_1717
{col 23}_IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 23}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 23}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736
{col 23}_IyeaXbis_1739 _IyeaXbis_1740 _IyeaXbis_1744
{col 23}_IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 23}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689
{col 23}_IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 23}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710
{col 23}_IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 23}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733
{col 23}_IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 23}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 23}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700
{col 23}_IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 23}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720
{col 23}_IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 23}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739
{col 23}_IyeaXlfo_1741 _IyeaXlfo_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        268    871.5781    2988.245  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA15C.tex"'"':TableA15C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15C.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.year*bishop{col 19}_IyeaXbis_#{col 39}(coded as above)
i.year*wage{col 19}_IyeaXwag_#{col 39}(coded as above)
i.year*lforas~r{col 19}_IyeaXlfo_#{col 39}(coded as above)
Warning - duplicate variables detected
Duplicates:{col 21}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 21}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 21}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 21}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 21}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 21}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 21}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 21}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 21}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 21}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 21}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695
{col 21}_IyeaXbis_1696 _IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699
{col 21}_IyeaXbis_1700 _IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 21}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710
{col 21}_IyeaXbis_1713 _IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728
{col 21}_IyeaXbis_1729 _IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 21}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739
{col 21}_IyeaXbis_1740 _IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748
{col 21}_IyeaXbis_1749 _IyeaXbis_1750 _IyeaXbis_1751 wage
{col 21}_IyeaXwag_1689 _IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 21}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710 _IyeaXwag_1714
{col 21}_IyeaXwag_1720 _IyeaXwag_1729 _IyeaXwag_1730 _IyeaXwag_1731
{col 21}_IyeaXwag_1733 _IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 21}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 21}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700 _IyeaXlfo_1704
{col 21}_IyeaXlfo_1707 _IyeaXlfo_1709 _IyeaXlfo_1714 _IyeaXlfo_1717
{col 21}_IyeaXlfo_1720 _IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 21}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739 _IyeaXlfo_1741
{col 21}_IyeaXlfo_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       41{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - duplicate variables detected
Duplicates:{col 16}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 16}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 16}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 16}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 16}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 16}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 16}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 16}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 16}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 16}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690 _IyeaXbis_1691
{col 16}_IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695 _IyeaXbis_1696
{col 16}_IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 16}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706 _IyeaXbis_1707
{col 16}_IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710 _IyeaXbis_1713
{col 16}_IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 16}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732 _IyeaXbis_1733
{col 16}_IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739 _IyeaXbis_1740
{col 16}_IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 16}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689 _IyeaXwag_1691
{col 16}_IyeaXwag_1699 _IyeaXwag_1704 _IyeaXwag_1706 _IyeaXwag_1707
{col 16}_IyeaXwag_1710 _IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 16}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733 _IyeaXwag_1736
{col 16}_IyeaXwag_1739 _IyeaXwag_1749 _IyeaXwag_1750 _IyeaXwag_1751
{col 16}lforaster _IyeaXlfo_1691 _IyeaXlfo_1698 _IyeaXlfo_1699
{col 16}_IyeaXlfo_1700 _IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 16}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720 _IyeaXlfo_1729
{col 16}_IyeaXlfo_1730 _IyeaXlfo_1731 _IyeaXlfo_1733 _IyeaXlfo_1736
{col 16}_IyeaXlfo_1739 _IyeaXlfo_1741 _IyeaXlfo_1751

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    41{txt}{col 55}Number of obs = {res}     268
{txt}{col 55}F(  4,    40) = {res}    2.28
{txt}{col 55}Prob > F      = {res}  0.0772
{txt}Total (centered) SS     = {res} 10.75957474{txt}{col 55}Centered R2   = {res} -0.0117
{txt}Total (uncentered) SS   = {res} 10.75957474{txt}{col 55}Uncentered R2 = {res} -0.0117
{txt}Residual SS             = {res} 10.88577784{txt}{col 55}Root MSE      = {res}    .219

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      lgprice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}chshsold {c |}{col 15}{res}{space 2} .0228967{col 27}{space 2} .0070182{col 38}{space 1}    3.26{col 47}{space 3}0.001{col 55}{space 4} .0091413{col 68}{space 3} .0366521
{txt}forasteroyear {c |}{col 15}{res}{space 2}-199.6409{col 27}{space 2} 85.35686{col 38}{space 1}   -2.34{col 47}{space 3}0.019{col 55}{space 4}-366.9372{col 68}{space 3}-32.34449
{txt}{space 5}bishyear {c |}{col 15}{res}{space 2}  4.91809{col 27}{space 2} 1.749244{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4} 1.489634{col 68}{space 3} 8.346545
{txt}{space 5}wageyear {c |}{col 15}{res}{space 2}-.0003222{col 27}{space 2} .0006464{col 38}{space 1}   -0.50{col 47}{space 3}0.618{col 55}{space 4}-.0015891{col 68}{space 3} .0009447
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.196
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0008
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  25.290
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  25.464
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshsold
Included instruments:{col 23}forasteroyear bishyear wageyear
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _IyeaXbis_1688
{col 23}_IyeaXbis_1689 _IyeaXbis_1692 _IyeaXbis_1711
{col 23}_IyeaXbis_1712 _IyeaXbis_1714 _IyeaXbis_1715
{col 23}_IyeaXbis_1716 _IyeaXbis_1718 _IyeaXbis_1719
{col 23}_IyeaXbis_1734 _IyeaXbis_1737 _IyeaXbis_1738
{col 23}_IyeaXbis_1741 _IyeaXbis_1742 _IyeaXbis_1745
{col 23}_IyeaXbis_1747 _IyeaXwag_1688 _IyeaXwag_1690
{col 23}_IyeaXwag_1692 _IyeaXwag_1693 _IyeaXwag_1694
{col 23}_IyeaXwag_1695 _IyeaXwag_1696 _IyeaXwag_1697
{col 23}_IyeaXwag_1698 _IyeaXwag_1700 _IyeaXwag_1705
{col 23}_IyeaXwag_1708 _IyeaXwag_1709 _IyeaXwag_1711
{col 23}_IyeaXwag_1712 _IyeaXwag_1713 _IyeaXwag_1715
{col 23}_IyeaXwag_1716 _IyeaXwag_1717 _IyeaXwag_1718
{col 23}_IyeaXwag_1719 _IyeaXwag_1728 _IyeaXwag_1732
{col 23}_IyeaXwag_1734 _IyeaXwag_1735 _IyeaXwag_1737
{col 23}_IyeaXwag_1738 _IyeaXwag_1740 _IyeaXwag_1741
{col 23}_IyeaXwag_1742 _IyeaXwag_1744 _IyeaXwag_1745
{col 23}_IyeaXwag_1746 _IyeaXwag_1747 _IyeaXwag_1748
{col 23}_IyeaXlfo_1688 _IyeaXlfo_1689 _IyeaXlfo_1690
{col 23}_IyeaXlfo_1692 _IyeaXlfo_1693 _IyeaXlfo_1694
{col 23}_IyeaXlfo_1695 _IyeaXlfo_1696 _IyeaXlfo_1697
{col 23}_IyeaXlfo_1705 _IyeaXlfo_1706 _IyeaXlfo_1708
{col 23}_IyeaXlfo_1710 _IyeaXlfo_1711 _IyeaXlfo_1712
{col 23}_IyeaXlfo_1713 _IyeaXlfo_1715 _IyeaXlfo_1716
{col 23}_IyeaXlfo_1718 _IyeaXlfo_1719 _IyeaXlfo_1728
{col 23}_IyeaXlfo_1732 _IyeaXlfo_1734 _IyeaXlfo_1735
{col 23}_IyeaXlfo_1737 _IyeaXlfo_1738 _IyeaXlfo_1740
{col 23}_IyeaXlfo_1742 _IyeaXlfo_1744 _IyeaXlfo_1745
{col 23}_IyeaXlfo_1746 _IyeaXlfo_1747 _IyeaXlfo_1748
{col 23}_IyeaXlfo_1749 _IyeaXlfo_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iyear_1751
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 23}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694
{col 23}_IyeaXbis_1695 _IyeaXbis_1696 _IyeaXbis_1697
{col 23}_IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 23}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 23}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709
{col 23}_IyeaXbis_1710 _IyeaXbis_1713 _IyeaXbis_1717
{col 23}_IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 23}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 23}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736
{col 23}_IyeaXbis_1739 _IyeaXbis_1740 _IyeaXbis_1744
{col 23}_IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 23}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689
{col 23}_IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 23}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710
{col 23}_IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 23}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733
{col 23}_IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 23}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 23}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700
{col 23}_IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 23}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720
{col 23}_IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 23}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739
{col 23}_IyeaXlfo_1741 _IyeaXlfo_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        268     .141817    .4317987  -1.252763   1.203973
{txt}{stata `"shellout using `"TableA15C.tex"'"':TableA15C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15C.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) forasteroyear bishyear wageyear obyear1-obyear8 i.year*bishop i.year*wage i.year*lforaster i.year distfuture if distfuture<=9, fe cluster(provcode) partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15C.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.year*bishop{col 19}_IyeaXbis_#{col 39}(coded as above)
i.year*wage{col 19}_IyeaXwag_#{col 39}(coded as above)
i.year*lforas~r{col 19}_IyeaXlfo_#{col 39}(coded as above)
Warning - duplicate variables detected
Duplicates:{col 21}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 21}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 21}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 21}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 21}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 21}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 21}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 21}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 21}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 21}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 21}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695
{col 21}_IyeaXbis_1696 _IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699
{col 21}_IyeaXbis_1700 _IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 21}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710
{col 21}_IyeaXbis_1713 _IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728
{col 21}_IyeaXbis_1729 _IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 21}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739
{col 21}_IyeaXbis_1740 _IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748
{col 21}_IyeaXbis_1749 _IyeaXbis_1750 _IyeaXbis_1751 wage
{col 21}_IyeaXwag_1689 _IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 21}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710 _IyeaXwag_1714
{col 21}_IyeaXwag_1720 _IyeaXwag_1729 _IyeaXwag_1730 _IyeaXwag_1731
{col 21}_IyeaXwag_1733 _IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 21}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 21}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700 _IyeaXlfo_1704
{col 21}_IyeaXlfo_1707 _IyeaXlfo_1709 _IyeaXlfo_1714 _IyeaXlfo_1717
{col 21}_IyeaXlfo_1720 _IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 21}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739 _IyeaXlfo_1741
{col 21}_IyeaXlfo_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       41{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - duplicate variables detected
Duplicates:{col 16}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 16}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 16}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 16}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 16}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 16}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 16}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 16}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 16}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 16}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690 _IyeaXbis_1691
{col 16}_IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695 _IyeaXbis_1696
{col 16}_IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 16}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706 _IyeaXbis_1707
{col 16}_IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710 _IyeaXbis_1713
{col 16}_IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 16}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732 _IyeaXbis_1733
{col 16}_IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739 _IyeaXbis_1740
{col 16}_IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 16}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689 _IyeaXwag_1691
{col 16}_IyeaXwag_1699 _IyeaXwag_1704 _IyeaXwag_1706 _IyeaXwag_1707
{col 16}_IyeaXwag_1710 _IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 16}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733 _IyeaXwag_1736
{col 16}_IyeaXwag_1739 _IyeaXwag_1749 _IyeaXwag_1750 _IyeaXwag_1751
{col 16}lforaster _IyeaXlfo_1691 _IyeaXlfo_1698 _IyeaXlfo_1699
{col 16}_IyeaXlfo_1700 _IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 16}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720 _IyeaXlfo_1729
{col 16}_IyeaXlfo_1730 _IyeaXlfo_1731 _IyeaXlfo_1733 _IyeaXlfo_1736
{col 16}_IyeaXlfo_1739 _IyeaXlfo_1741 _IyeaXlfo_1751

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    41{txt}{col 55}Number of obs = {res}     268
{txt}{col 55}F(  4,    40) = {res}    1.22
{txt}{col 55}Prob > F      = {res}  0.3174
{txt}Total (centered) SS     = {res}   674223189{txt}{col 55}Centered R2   = {res}  0.0459
{txt}Total (uncentered) SS   = {res}   674223189{txt}{col 55}Uncentered R2 = {res}  0.0459
{txt}Residual SS             = {res} 643276053.4{txt}{col 55}Root MSE      = {res}    1683

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difprice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshspain {c |}{col 15}{res}{space 2}-155.5174{col 27}{space 2} 55.68443{col 38}{space 1}   -2.79{col 47}{space 3}0.005{col 55}{space 4}-264.6569{col 68}{space 3}-46.37797
{txt}forasteroyear {c |}{col 15}{res}{space 2} 523125.6{col 27}{space 2} 614043.4{col 38}{space 1}    0.85{col 47}{space 3}0.394{col 55}{space 4}-680377.3{col 68}{space 3}  1726629
{txt}{space 5}bishyear {c |}{col 15}{res}{space 2} 60577.42{col 27}{space 2} 21002.57{col 38}{space 1}    2.88{col 47}{space 3}0.004{col 55}{space 4} 19413.14{col 68}{space 3} 101741.7
{txt}{space 5}wageyear {c |}{col 15}{res}{space 2}-7.829004{col 27}{space 2} 10.42205{col 38}{space 1}   -0.75{col 47}{space 3}0.453{col 55}{space 4}-28.25584{col 68}{space 3} 12.59783
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.178
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0008
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  27.144
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  27.099
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Included instruments:{col 23}forasteroyear bishyear wageyear
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _IyeaXbis_1688
{col 23}_IyeaXbis_1689 _IyeaXbis_1692 _IyeaXbis_1711
{col 23}_IyeaXbis_1712 _IyeaXbis_1714 _IyeaXbis_1715
{col 23}_IyeaXbis_1716 _IyeaXbis_1718 _IyeaXbis_1719
{col 23}_IyeaXbis_1734 _IyeaXbis_1737 _IyeaXbis_1738
{col 23}_IyeaXbis_1741 _IyeaXbis_1742 _IyeaXbis_1745
{col 23}_IyeaXbis_1747 _IyeaXwag_1688 _IyeaXwag_1690
{col 23}_IyeaXwag_1692 _IyeaXwag_1693 _IyeaXwag_1694
{col 23}_IyeaXwag_1695 _IyeaXwag_1696 _IyeaXwag_1697
{col 23}_IyeaXwag_1698 _IyeaXwag_1700 _IyeaXwag_1705
{col 23}_IyeaXwag_1708 _IyeaXwag_1709 _IyeaXwag_1711
{col 23}_IyeaXwag_1712 _IyeaXwag_1713 _IyeaXwag_1715
{col 23}_IyeaXwag_1716 _IyeaXwag_1717 _IyeaXwag_1718
{col 23}_IyeaXwag_1719 _IyeaXwag_1728 _IyeaXwag_1732
{col 23}_IyeaXwag_1734 _IyeaXwag_1735 _IyeaXwag_1737
{col 23}_IyeaXwag_1738 _IyeaXwag_1740 _IyeaXwag_1741
{col 23}_IyeaXwag_1742 _IyeaXwag_1744 _IyeaXwag_1745
{col 23}_IyeaXwag_1746 _IyeaXwag_1747 _IyeaXwag_1748
{col 23}_IyeaXlfo_1688 _IyeaXlfo_1689 _IyeaXlfo_1690
{col 23}_IyeaXlfo_1692 _IyeaXlfo_1693 _IyeaXlfo_1694
{col 23}_IyeaXlfo_1695 _IyeaXlfo_1696 _IyeaXlfo_1697
{col 23}_IyeaXlfo_1705 _IyeaXlfo_1706 _IyeaXlfo_1708
{col 23}_IyeaXlfo_1710 _IyeaXlfo_1711 _IyeaXlfo_1712
{col 23}_IyeaXlfo_1713 _IyeaXlfo_1715 _IyeaXlfo_1716
{col 23}_IyeaXlfo_1718 _IyeaXlfo_1719 _IyeaXlfo_1728
{col 23}_IyeaXlfo_1732 _IyeaXlfo_1734 _IyeaXlfo_1735
{col 23}_IyeaXlfo_1737 _IyeaXlfo_1738 _IyeaXlfo_1740
{col 23}_IyeaXlfo_1742 _IyeaXlfo_1744 _IyeaXlfo_1745
{col 23}_IyeaXlfo_1746 _IyeaXlfo_1747 _IyeaXlfo_1748
{col 23}_IyeaXlfo_1749 _IyeaXlfo_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iyear_1751
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 23}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694
{col 23}_IyeaXbis_1695 _IyeaXbis_1696 _IyeaXbis_1697
{col 23}_IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 23}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 23}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709
{col 23}_IyeaXbis_1710 _IyeaXbis_1713 _IyeaXbis_1717
{col 23}_IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 23}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 23}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736
{col 23}_IyeaXbis_1739 _IyeaXbis_1740 _IyeaXbis_1744
{col 23}_IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 23}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689
{col 23}_IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 23}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710
{col 23}_IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 23}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733
{col 23}_IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 23}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 23}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700
{col 23}_IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 23}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720
{col 23}_IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 23}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739
{col 23}_IyeaXlfo_1741 _IyeaXlfo_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        268    871.5781    2988.245  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA15C.tex"'"':TableA15C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15C.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.year*bishop{col 19}_IyeaXbis_#{col 39}(coded as above)
i.year*wage{col 19}_IyeaXwag_#{col 39}(coded as above)
i.year*lforas~r{col 19}_IyeaXlfo_#{col 39}(coded as above)
Warning - duplicate variables detected
Duplicates:{col 21}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 21}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 21}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 21}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 21}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 21}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 21}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 21}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 21}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 21}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 21}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695
{col 21}_IyeaXbis_1696 _IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699
{col 21}_IyeaXbis_1700 _IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 21}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710
{col 21}_IyeaXbis_1713 _IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728
{col 21}_IyeaXbis_1729 _IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 21}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739
{col 21}_IyeaXbis_1740 _IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748
{col 21}_IyeaXbis_1749 _IyeaXbis_1750 _IyeaXbis_1751 wage
{col 21}_IyeaXwag_1689 _IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 21}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710 _IyeaXwag_1714
{col 21}_IyeaXwag_1720 _IyeaXwag_1729 _IyeaXwag_1730 _IyeaXwag_1731
{col 21}_IyeaXwag_1733 _IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 21}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 21}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700 _IyeaXlfo_1704
{col 21}_IyeaXlfo_1707 _IyeaXlfo_1709 _IyeaXlfo_1714 _IyeaXlfo_1717
{col 21}_IyeaXlfo_1720 _IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 21}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739 _IyeaXlfo_1741
{col 21}_IyeaXlfo_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       41{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - duplicate variables detected
Duplicates:{col 16}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 16}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 16}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 16}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 16}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 16}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 16}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 16}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 16}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 16}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690 _IyeaXbis_1691
{col 16}_IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695 _IyeaXbis_1696
{col 16}_IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 16}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706 _IyeaXbis_1707
{col 16}_IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710 _IyeaXbis_1713
{col 16}_IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 16}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732 _IyeaXbis_1733
{col 16}_IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739 _IyeaXbis_1740
{col 16}_IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 16}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689 _IyeaXwag_1691
{col 16}_IyeaXwag_1699 _IyeaXwag_1704 _IyeaXwag_1706 _IyeaXwag_1707
{col 16}_IyeaXwag_1710 _IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 16}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733 _IyeaXwag_1736
{col 16}_IyeaXwag_1739 _IyeaXwag_1749 _IyeaXwag_1750 _IyeaXwag_1751
{col 16}lforaster _IyeaXlfo_1691 _IyeaXlfo_1698 _IyeaXlfo_1699
{col 16}_IyeaXlfo_1700 _IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 16}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720 _IyeaXlfo_1729
{col 16}_IyeaXlfo_1730 _IyeaXlfo_1731 _IyeaXlfo_1733 _IyeaXlfo_1736
{col 16}_IyeaXlfo_1739 _IyeaXlfo_1741 _IyeaXlfo_1751

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    41{txt}{col 55}Number of obs = {res}     268
{txt}{col 55}F(  4,    40) = {res}    2.37
{txt}{col 55}Prob > F      = {res}  0.0687
{txt}Total (centered) SS     = {res} 10.75957474{txt}{col 55}Centered R2   = {res}  0.0067
{txt}Total (uncentered) SS   = {res} 10.75957474{txt}{col 55}Uncentered R2 = {res}  0.0067
{txt}Residual SS             = {res} 10.68717333{txt}{col 55}Root MSE      = {res}    .217

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      lgprice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshspain {c |}{col 15}{res}{space 2}-.0224419{col 27}{space 2} .0066788{col 38}{space 1}   -3.36{col 47}{space 3}0.001{col 55}{space 4} -.035532{col 68}{space 3}-.0093518
{txt}forasteroyear {c |}{col 15}{res}{space 2} -169.591{col 27}{space 2} 84.10152{col 38}{space 1}   -2.02{col 47}{space 3}0.044{col 55}{space 4}-334.4269{col 68}{space 3}-4.755027
{txt}{space 5}bishyear {c |}{col 15}{res}{space 2} 5.736103{col 27}{space 2} 1.905186{col 38}{space 1}    3.01{col 47}{space 3}0.003{col 55}{space 4} 2.002007{col 68}{space 3}   9.4702
{txt}{space 5}wageyear {c |}{col 15}{res}{space 2}-.0002099{col 27}{space 2} .0006354{col 38}{space 1}   -0.33{col 47}{space 3}0.741{col 55}{space 4}-.0014552{col 68}{space 3} .0010355
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  11.178
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0008
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  27.144
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  27.099
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Included instruments:{col 23}forasteroyear bishyear wageyear
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _IyeaXbis_1688
{col 23}_IyeaXbis_1689 _IyeaXbis_1692 _IyeaXbis_1711
{col 23}_IyeaXbis_1712 _IyeaXbis_1714 _IyeaXbis_1715
{col 23}_IyeaXbis_1716 _IyeaXbis_1718 _IyeaXbis_1719
{col 23}_IyeaXbis_1734 _IyeaXbis_1737 _IyeaXbis_1738
{col 23}_IyeaXbis_1741 _IyeaXbis_1742 _IyeaXbis_1745
{col 23}_IyeaXbis_1747 _IyeaXwag_1688 _IyeaXwag_1690
{col 23}_IyeaXwag_1692 _IyeaXwag_1693 _IyeaXwag_1694
{col 23}_IyeaXwag_1695 _IyeaXwag_1696 _IyeaXwag_1697
{col 23}_IyeaXwag_1698 _IyeaXwag_1700 _IyeaXwag_1705
{col 23}_IyeaXwag_1708 _IyeaXwag_1709 _IyeaXwag_1711
{col 23}_IyeaXwag_1712 _IyeaXwag_1713 _IyeaXwag_1715
{col 23}_IyeaXwag_1716 _IyeaXwag_1717 _IyeaXwag_1718
{col 23}_IyeaXwag_1719 _IyeaXwag_1728 _IyeaXwag_1732
{col 23}_IyeaXwag_1734 _IyeaXwag_1735 _IyeaXwag_1737
{col 23}_IyeaXwag_1738 _IyeaXwag_1740 _IyeaXwag_1741
{col 23}_IyeaXwag_1742 _IyeaXwag_1744 _IyeaXwag_1745
{col 23}_IyeaXwag_1746 _IyeaXwag_1747 _IyeaXwag_1748
{col 23}_IyeaXlfo_1688 _IyeaXlfo_1689 _IyeaXlfo_1690
{col 23}_IyeaXlfo_1692 _IyeaXlfo_1693 _IyeaXlfo_1694
{col 23}_IyeaXlfo_1695 _IyeaXlfo_1696 _IyeaXlfo_1697
{col 23}_IyeaXlfo_1705 _IyeaXlfo_1706 _IyeaXlfo_1708
{col 23}_IyeaXlfo_1710 _IyeaXlfo_1711 _IyeaXlfo_1712
{col 23}_IyeaXlfo_1713 _IyeaXlfo_1715 _IyeaXlfo_1716
{col 23}_IyeaXlfo_1718 _IyeaXlfo_1719 _IyeaXlfo_1728
{col 23}_IyeaXlfo_1732 _IyeaXlfo_1734 _IyeaXlfo_1735
{col 23}_IyeaXlfo_1737 _IyeaXlfo_1738 _IyeaXlfo_1740
{col 23}_IyeaXlfo_1742 _IyeaXlfo_1744 _IyeaXlfo_1745
{col 23}_IyeaXlfo_1746 _IyeaXlfo_1747 _IyeaXlfo_1748
{col 23}_IyeaXlfo_1749 _IyeaXlfo_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iyear_1751
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 23}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694
{col 23}_IyeaXbis_1695 _IyeaXbis_1696 _IyeaXbis_1697
{col 23}_IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 23}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 23}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709
{col 23}_IyeaXbis_1710 _IyeaXbis_1713 _IyeaXbis_1717
{col 23}_IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 23}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 23}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736
{col 23}_IyeaXbis_1739 _IyeaXbis_1740 _IyeaXbis_1744
{col 23}_IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 23}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689
{col 23}_IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 23}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710
{col 23}_IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 23}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733
{col 23}_IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 23}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 23}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700
{col 23}_IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 23}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720
{col 23}_IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 23}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739
{col 23}_IyeaXlfo_1741 _IyeaXlfo_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        268     .141817    .4317987  -1.252763   1.203973
{txt}{stata `"shellout using `"TableA15C.tex"'"':TableA15C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15C.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. *composition data
. 
. use composition, clear
{txt}
{com}. 
. gen bishyear = bishop*year
{txt}
{com}. gen wageyear = wage*year
{txt}
{com}. gen lforaster = log(forastero)
{txt}(49 missing values generated)

{com}. gen forasteroyear = lforaster*year
{txt}(49 missing values generated)

{com}. 
. #delimit;
{txt}delimiter now ;
{com}. local replace append;
{txt}
{com}. foreach var of varlist difprice lgprice {c -(};
{txt}  2{com}. xi: xtivreg2 `var' (chshspain = totspanishdeath) forasteroyear bishyear wageyear obyear1-obyear8 i.year*bishop i.year*wage i.year*lforaster i.year distfuture if distfuture<=9, fe cluster(provcode) partial (obyear* distfuture _I*);
{txt}  3{com}. sum `var' if e(sample);
{txt}  4{com}. local mean = r(mean);
{txt}  5{com}. local fstat = e(widstat);
{txt}  6{com}. outreg2 using  TableA15C.tex, `replace' dec(2) nocons noni nor adds("Provinces", e(N_clust), "Mean DV", `mean', "F-Stat", `fstat');
{txt}  7{com}. local replace append;
{txt}  8{com}. {c )-};
{txt}i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.year*bishop{col 19}_IyeaXbis_#{col 39}(coded as above)
i.year*wage{col 19}_IyeaXwag_#{col 39}(coded as above)
i.year*lforas~r{col 19}_IyeaXlfo_#{col 39}(coded as above)
Warning - duplicate variables detected
Duplicates:{col 21}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 21}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 21}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 21}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 21}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 21}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 21}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 21}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 21}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 21}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 21}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695
{col 21}_IyeaXbis_1696 _IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699
{col 21}_IyeaXbis_1700 _IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 21}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710
{col 21}_IyeaXbis_1713 _IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728
{col 21}_IyeaXbis_1729 _IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 21}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739
{col 21}_IyeaXbis_1740 _IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748
{col 21}_IyeaXbis_1749 _IyeaXbis_1750 _IyeaXbis_1751 wage
{col 21}_IyeaXwag_1689 _IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 21}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710 _IyeaXwag_1714
{col 21}_IyeaXwag_1720 _IyeaXwag_1729 _IyeaXwag_1730 _IyeaXwag_1731
{col 21}_IyeaXwag_1733 _IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 21}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 21}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700 _IyeaXlfo_1704
{col 21}_IyeaXlfo_1707 _IyeaXlfo_1709 _IyeaXlfo_1714 _IyeaXlfo_1717
{col 21}_IyeaXlfo_1720 _IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 21}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739 _IyeaXlfo_1741
{col 21}_IyeaXlfo_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       41{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - duplicate variables detected
Duplicates:{col 16}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 16}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 16}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 16}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 16}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 16}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 16}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 16}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 16}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 16}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690 _IyeaXbis_1691
{col 16}_IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695 _IyeaXbis_1696
{col 16}_IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 16}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706 _IyeaXbis_1707
{col 16}_IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710 _IyeaXbis_1713
{col 16}_IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 16}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732 _IyeaXbis_1733
{col 16}_IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739 _IyeaXbis_1740
{col 16}_IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 16}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689 _IyeaXwag_1691
{col 16}_IyeaXwag_1699 _IyeaXwag_1704 _IyeaXwag_1706 _IyeaXwag_1707
{col 16}_IyeaXwag_1710 _IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 16}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733 _IyeaXwag_1736
{col 16}_IyeaXwag_1739 _IyeaXwag_1749 _IyeaXwag_1750 _IyeaXwag_1751
{col 16}lforaster _IyeaXlfo_1691 _IyeaXlfo_1698 _IyeaXlfo_1699
{col 16}_IyeaXlfo_1700 _IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 16}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720 _IyeaXlfo_1729
{col 16}_IyeaXlfo_1730 _IyeaXlfo_1731 _IyeaXlfo_1733 _IyeaXlfo_1736
{col 16}_IyeaXlfo_1739 _IyeaXlfo_1741 _IyeaXlfo_1751

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    41{txt}{col 55}Number of obs = {res}     268
{txt}{col 55}F(  4,    40) = {res}    0.92
{txt}{col 55}Prob > F      = {res}  0.4625
{txt}Total (centered) SS     = {res}   674223189{txt}{col 55}Centered R2   = {res} -0.6363
{txt}Total (uncentered) SS   = {res}   674223189{txt}{col 55}Uncentered R2 = {res} -0.6363
{txt}Residual SS             = {res}  1103228577{txt}{col 55}Root MSE      = {res}    2205

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     difprice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshspain {c |}{col 15}{res}{space 2}-679.7697{col 27}{space 2} 332.0316{col 38}{space 1}   -2.05{col 47}{space 3}0.041{col 55}{space 4} -1330.54{col 68}{space 3}-28.99976
{txt}forasteroyear {c |}{col 15}{res}{space 2} -1257757{col 27}{space 2}  1247009{col 38}{space 1}   -1.01{col 47}{space 3}0.313{col 55}{space 4} -3701850{col 68}{space 3}  1186335
{txt}{space 5}bishyear {c |}{col 15}{res}{space 2} 71563.52{col 27}{space 2} 27236.54{col 38}{space 1}    2.63{col 47}{space 3}0.009{col 55}{space 4} 18180.87{col 68}{space 3} 124946.2
{txt}{space 5}wageyear {c |}{col 15}{res}{space 2}-3.246821{col 27}{space 2} 14.18924{col 38}{space 1}   -0.23{col 47}{space 3}0.819{col 55}{space 4}-31.05723{col 68}{space 3} 24.56359
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.713
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0168
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   4.539
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   4.167
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Included instruments:{col 23}forasteroyear bishyear wageyear
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _IyeaXbis_1688
{col 23}_IyeaXbis_1689 _IyeaXbis_1692 _IyeaXbis_1711
{col 23}_IyeaXbis_1712 _IyeaXbis_1714 _IyeaXbis_1715
{col 23}_IyeaXbis_1716 _IyeaXbis_1718 _IyeaXbis_1719
{col 23}_IyeaXbis_1734 _IyeaXbis_1737 _IyeaXbis_1738
{col 23}_IyeaXbis_1741 _IyeaXbis_1742 _IyeaXbis_1745
{col 23}_IyeaXbis_1747 _IyeaXwag_1688 _IyeaXwag_1690
{col 23}_IyeaXwag_1692 _IyeaXwag_1693 _IyeaXwag_1694
{col 23}_IyeaXwag_1695 _IyeaXwag_1696 _IyeaXwag_1697
{col 23}_IyeaXwag_1698 _IyeaXwag_1700 _IyeaXwag_1705
{col 23}_IyeaXwag_1708 _IyeaXwag_1709 _IyeaXwag_1711
{col 23}_IyeaXwag_1712 _IyeaXwag_1713 _IyeaXwag_1715
{col 23}_IyeaXwag_1716 _IyeaXwag_1717 _IyeaXwag_1718
{col 23}_IyeaXwag_1719 _IyeaXwag_1728 _IyeaXwag_1732
{col 23}_IyeaXwag_1734 _IyeaXwag_1735 _IyeaXwag_1737
{col 23}_IyeaXwag_1738 _IyeaXwag_1740 _IyeaXwag_1741
{col 23}_IyeaXwag_1742 _IyeaXwag_1744 _IyeaXwag_1745
{col 23}_IyeaXwag_1746 _IyeaXwag_1747 _IyeaXwag_1748
{col 23}_IyeaXlfo_1688 _IyeaXlfo_1689 _IyeaXlfo_1690
{col 23}_IyeaXlfo_1692 _IyeaXlfo_1693 _IyeaXlfo_1694
{col 23}_IyeaXlfo_1695 _IyeaXlfo_1696 _IyeaXlfo_1697
{col 23}_IyeaXlfo_1705 _IyeaXlfo_1706 _IyeaXlfo_1708
{col 23}_IyeaXlfo_1710 _IyeaXlfo_1711 _IyeaXlfo_1712
{col 23}_IyeaXlfo_1713 _IyeaXlfo_1715 _IyeaXlfo_1716
{col 23}_IyeaXlfo_1718 _IyeaXlfo_1719 _IyeaXlfo_1728
{col 23}_IyeaXlfo_1732 _IyeaXlfo_1734 _IyeaXlfo_1735
{col 23}_IyeaXlfo_1737 _IyeaXlfo_1738 _IyeaXlfo_1740
{col 23}_IyeaXlfo_1742 _IyeaXlfo_1744 _IyeaXlfo_1745
{col 23}_IyeaXlfo_1746 _IyeaXlfo_1747 _IyeaXlfo_1748
{col 23}_IyeaXlfo_1749 _IyeaXlfo_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iyear_1751
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 23}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694
{col 23}_IyeaXbis_1695 _IyeaXbis_1696 _IyeaXbis_1697
{col 23}_IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 23}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 23}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709
{col 23}_IyeaXbis_1710 _IyeaXbis_1713 _IyeaXbis_1717
{col 23}_IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 23}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 23}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736
{col 23}_IyeaXbis_1739 _IyeaXbis_1740 _IyeaXbis_1744
{col 23}_IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 23}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689
{col 23}_IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 23}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710
{col 23}_IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 23}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733
{col 23}_IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 23}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 23}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700
{col 23}_IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 23}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720
{col 23}_IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 23}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739
{col 23}_IyeaXlfo_1741 _IyeaXlfo_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}difprice {c |}{res}        268    871.5781    2988.245  -14719.95   16970.71
{txt}{stata `"shellout using `"TableA15C.tex"'"':TableA15C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15C.txt""':seeout}
i.year{col 19}_Iyear_1687-1751{col 39}(naturally coded; _Iyear_1687 omitted)
i.year*bishop{col 19}_IyeaXbis_#{col 39}(coded as above)
i.year*wage{col 19}_IyeaXwag_#{col 39}(coded as above)
i.year*lforas~r{col 19}_IyeaXlfo_#{col 39}(coded as above)
Warning - duplicate variables detected
Duplicates:{col 21}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 21}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 21}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 21}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 21}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 21}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 21}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 21}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 21}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 21}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 21}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 21}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 21}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 21}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695
{col 21}_IyeaXbis_1696 _IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699
{col 21}_IyeaXbis_1700 _IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 21}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710
{col 21}_IyeaXbis_1713 _IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728
{col 21}_IyeaXbis_1729 _IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 21}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739
{col 21}_IyeaXbis_1740 _IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748
{col 21}_IyeaXbis_1749 _IyeaXbis_1750 _IyeaXbis_1751 wage
{col 21}_IyeaXwag_1689 _IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 21}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710 _IyeaXwag_1714
{col 21}_IyeaXwag_1720 _IyeaXwag_1729 _IyeaXwag_1730 _IyeaXwag_1731
{col 21}_IyeaXwag_1733 _IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 21}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 21}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700 _IyeaXlfo_1704
{col 21}_IyeaXlfo_1707 _IyeaXlfo_1709 _IyeaXlfo_1714 _IyeaXlfo_1717
{col 21}_IyeaXlfo_1720 _IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 21}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739 _IyeaXlfo_1741
{col 21}_IyeaXlfo_1751
{res}
{txt}FIXED EFFECTS ESTIMATION
{hline 24}
Number of groups = {res}       41{col 49}{txt}Obs per group: min{col 68}={col 70}{res}        2
{txt}{col 64}avg{col 68}={col 70}{res}      6.5
{txt}{col 64}max{col 68}={col 70}{res}       13
{txt}Warning - duplicate variables detected
Duplicates:{col 16}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691 _Iyear_1692
{col 16}_Iyear_1693 _Iyear_1694 _Iyear_1695 _Iyear_1696 _Iyear_1697
{col 16}_Iyear_1698 _Iyear_1699 _Iyear_1700 _Iyear_1704 _Iyear_1705
{col 16}_Iyear_1706 _Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 16}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 16}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719 _Iyear_1720
{col 16}_Iyear_1728 _Iyear_1729 _Iyear_1730 _Iyear_1731 _Iyear_1732
{col 16}_Iyear_1733 _Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 16}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741 _Iyear_1742
{col 16}_Iyear_1744 _Iyear_1745 _Iyear_1746 _Iyear_1747 _Iyear_1748
{col 16}_Iyear_1749 _Iyear_1750 _Iyear_1751
Warning - collinearities detected
Vars dropped:{col 16}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730 _Iyear_1733
{col 16}_Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690 _IyeaXbis_1691
{col 16}_IyeaXbis_1693 _IyeaXbis_1694 _IyeaXbis_1695 _IyeaXbis_1696
{col 16}_IyeaXbis_1697 _IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 16}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706 _IyeaXbis_1707
{col 16}_IyeaXbis_1708 _IyeaXbis_1709 _IyeaXbis_1710 _IyeaXbis_1713
{col 16}_IyeaXbis_1717 _IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 16}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732 _IyeaXbis_1733
{col 16}_IyeaXbis_1735 _IyeaXbis_1736 _IyeaXbis_1739 _IyeaXbis_1740
{col 16}_IyeaXbis_1744 _IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 16}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689 _IyeaXwag_1691
{col 16}_IyeaXwag_1699 _IyeaXwag_1704 _IyeaXwag_1706 _IyeaXwag_1707
{col 16}_IyeaXwag_1710 _IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 16}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733 _IyeaXwag_1736
{col 16}_IyeaXwag_1739 _IyeaXwag_1749 _IyeaXwag_1750 _IyeaXwag_1751
{col 16}lforaster _IyeaXlfo_1691 _IyeaXlfo_1698 _IyeaXlfo_1699
{col 16}_IyeaXlfo_1700 _IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 16}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720 _IyeaXlfo_1729
{col 16}_IyeaXlfo_1730 _IyeaXlfo_1731 _IyeaXlfo_1733 _IyeaXlfo_1736
{col 16}_IyeaXlfo_1739 _IyeaXlfo_1741 _IyeaXlfo_1751

IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on provcode

Number of clusters (provcode) = {col 33}{res}    41{txt}{col 55}Number of obs = {res}     268
{txt}{col 55}F(  4,    40) = {res}    0.98
{txt}{col 55}Prob > F      = {res}  0.4304
{txt}Total (centered) SS     = {res} 10.75957474{txt}{col 55}Centered R2   = {res} -1.0455
{txt}Total (uncentered) SS   = {res} 10.75957474{txt}{col 55}Uncentered R2 = {res} -1.0455
{txt}Residual SS             = {res} 22.00874904{txt}{col 55}Root MSE      = {res}   .3114

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      lgprice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chshspain {c |}{col 15}{res}{space 2}-.0985978{col 27}{space 2} .0463479{col 38}{space 1}   -2.13{col 47}{space 3}0.033{col 55}{space 4}-.1894381{col 68}{space 3}-.0077575
{txt}forasteroyear {c |}{col 15}{res}{space 2}-427.8096{col 27}{space 2} 192.0959{col 38}{space 1}   -2.23{col 47}{space 3}0.026{col 55}{space 4}-804.3107{col 68}{space 3} -51.3086
{txt}{space 5}bishyear {c |}{col 15}{res}{space 2}   7.3504{col 27}{space 2} 3.243338{col 38}{space 1}    2.27{col 47}{space 3}0.023{col 55}{space 4}  .993574{col 68}{space 3} 13.70723
{txt}{space 5}wageyear {c |}{col 15}{res}{space 2} .0004591{col 27}{space 2} .0013993{col 38}{space 1}    0.33{col 47}{space 3}0.743{col 55}{space 4}-.0022834{col 68}{space 3} .0032016
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   5.713
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0168
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}   4.539
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   4.167
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}chshspain
Included instruments:{col 23}forasteroyear bishyear wageyear
Excluded instruments:{col 23}totspanishdeath
{help ivreg2##partial:Partialled-out}:{col 23}obyear1 obyear2 obyear3 obyear4 obyear5 obyear7
{col 23}distfuture _Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1700
{col 23}_Iyear_1704 _Iyear_1705 _Iyear_1706 _Iyear_1707
{col 23}_Iyear_1708 _Iyear_1709 _Iyear_1710 _Iyear_1711
{col 23}_Iyear_1712 _Iyear_1713 _Iyear_1714 _Iyear_1715
{col 23}_Iyear_1716 _Iyear_1717 _Iyear_1718 _Iyear_1719
{col 23}_Iyear_1720 _Iyear_1728 _Iyear_1731 _Iyear_1732
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _IyeaXbis_1688
{col 23}_IyeaXbis_1689 _IyeaXbis_1692 _IyeaXbis_1711
{col 23}_IyeaXbis_1712 _IyeaXbis_1714 _IyeaXbis_1715
{col 23}_IyeaXbis_1716 _IyeaXbis_1718 _IyeaXbis_1719
{col 23}_IyeaXbis_1734 _IyeaXbis_1737 _IyeaXbis_1738
{col 23}_IyeaXbis_1741 _IyeaXbis_1742 _IyeaXbis_1745
{col 23}_IyeaXbis_1747 _IyeaXwag_1688 _IyeaXwag_1690
{col 23}_IyeaXwag_1692 _IyeaXwag_1693 _IyeaXwag_1694
{col 23}_IyeaXwag_1695 _IyeaXwag_1696 _IyeaXwag_1697
{col 23}_IyeaXwag_1698 _IyeaXwag_1700 _IyeaXwag_1705
{col 23}_IyeaXwag_1708 _IyeaXwag_1709 _IyeaXwag_1711
{col 23}_IyeaXwag_1712 _IyeaXwag_1713 _IyeaXwag_1715
{col 23}_IyeaXwag_1716 _IyeaXwag_1717 _IyeaXwag_1718
{col 23}_IyeaXwag_1719 _IyeaXwag_1728 _IyeaXwag_1732
{col 23}_IyeaXwag_1734 _IyeaXwag_1735 _IyeaXwag_1737
{col 23}_IyeaXwag_1738 _IyeaXwag_1740 _IyeaXwag_1741
{col 23}_IyeaXwag_1742 _IyeaXwag_1744 _IyeaXwag_1745
{col 23}_IyeaXwag_1746 _IyeaXwag_1747 _IyeaXwag_1748
{col 23}_IyeaXlfo_1688 _IyeaXlfo_1689 _IyeaXlfo_1690
{col 23}_IyeaXlfo_1692 _IyeaXlfo_1693 _IyeaXlfo_1694
{col 23}_IyeaXlfo_1695 _IyeaXlfo_1696 _IyeaXlfo_1697
{col 23}_IyeaXlfo_1705 _IyeaXlfo_1706 _IyeaXlfo_1708
{col 23}_IyeaXlfo_1710 _IyeaXlfo_1711 _IyeaXlfo_1712
{col 23}_IyeaXlfo_1713 _IyeaXlfo_1715 _IyeaXlfo_1716
{col 23}_IyeaXlfo_1718 _IyeaXlfo_1719 _IyeaXlfo_1728
{col 23}_IyeaXlfo_1732 _IyeaXlfo_1734 _IyeaXlfo_1735
{col 23}_IyeaXlfo_1737 _IyeaXlfo_1738 _IyeaXlfo_1740
{col 23}_IyeaXlfo_1742 _IyeaXlfo_1744 _IyeaXlfo_1745
{col 23}_IyeaXlfo_1746 _IyeaXlfo_1747 _IyeaXlfo_1748
{col 23}_IyeaXlfo_1749 _IyeaXlfo_1750
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}_Iyear_1688 _Iyear_1689 _Iyear_1690 _Iyear_1691
{col 23}_Iyear_1692 _Iyear_1693 _Iyear_1694 _Iyear_1695
{col 23}_Iyear_1696 _Iyear_1697 _Iyear_1698 _Iyear_1699
{col 23}_Iyear_1700 _Iyear_1704 _Iyear_1705 _Iyear_1706
{col 23}_Iyear_1707 _Iyear_1708 _Iyear_1709 _Iyear_1710
{col 23}_Iyear_1711 _Iyear_1712 _Iyear_1713 _Iyear_1714
{col 23}_Iyear_1715 _Iyear_1716 _Iyear_1717 _Iyear_1718
{col 23}_Iyear_1719 _Iyear_1720 _Iyear_1728 _Iyear_1729
{col 23}_Iyear_1730 _Iyear_1731 _Iyear_1732 _Iyear_1733
{col 23}_Iyear_1734 _Iyear_1735 _Iyear_1736 _Iyear_1737
{col 23}_Iyear_1738 _Iyear_1739 _Iyear_1740 _Iyear_1741
{col 23}_Iyear_1742 _Iyear_1744 _Iyear_1745 _Iyear_1746
{col 23}_Iyear_1747 _Iyear_1748 _Iyear_1749 _Iyear_1750
{col 23}_Iyear_1751
Dropped collinear:{col 23}obyear6 obyear8 _Iyear_1699 _Iyear_1729 _Iyear_1730
{col 23}_Iyear_1733 _Iyear_1750 _Iyear_1751 bishop _IyeaXbis_1690
{col 23}_IyeaXbis_1691 _IyeaXbis_1693 _IyeaXbis_1694
{col 23}_IyeaXbis_1695 _IyeaXbis_1696 _IyeaXbis_1697
{col 23}_IyeaXbis_1698 _IyeaXbis_1699 _IyeaXbis_1700
{col 23}_IyeaXbis_1704 _IyeaXbis_1705 _IyeaXbis_1706
{col 23}_IyeaXbis_1707 _IyeaXbis_1708 _IyeaXbis_1709
{col 23}_IyeaXbis_1710 _IyeaXbis_1713 _IyeaXbis_1717
{col 23}_IyeaXbis_1720 _IyeaXbis_1728 _IyeaXbis_1729
{col 23}_IyeaXbis_1730 _IyeaXbis_1731 _IyeaXbis_1732
{col 23}_IyeaXbis_1733 _IyeaXbis_1735 _IyeaXbis_1736
{col 23}_IyeaXbis_1739 _IyeaXbis_1740 _IyeaXbis_1744
{col 23}_IyeaXbis_1746 _IyeaXbis_1748 _IyeaXbis_1749
{col 23}_IyeaXbis_1750 _IyeaXbis_1751 wage _IyeaXwag_1689
{col 23}_IyeaXwag_1691 _IyeaXwag_1699 _IyeaXwag_1704
{col 23}_IyeaXwag_1706 _IyeaXwag_1707 _IyeaXwag_1710
{col 23}_IyeaXwag_1714 _IyeaXwag_1720 _IyeaXwag_1729
{col 23}_IyeaXwag_1730 _IyeaXwag_1731 _IyeaXwag_1733
{col 23}_IyeaXwag_1736 _IyeaXwag_1739 _IyeaXwag_1749
{col 23}_IyeaXwag_1750 _IyeaXwag_1751 lforaster _IyeaXlfo_1691
{col 23}_IyeaXlfo_1698 _IyeaXlfo_1699 _IyeaXlfo_1700
{col 23}_IyeaXlfo_1704 _IyeaXlfo_1707 _IyeaXlfo_1709
{col 23}_IyeaXlfo_1714 _IyeaXlfo_1717 _IyeaXlfo_1720
{col 23}_IyeaXlfo_1729 _IyeaXlfo_1730 _IyeaXlfo_1731
{col 23}_IyeaXlfo_1733 _IyeaXlfo_1736 _IyeaXlfo_1739
{col 23}_IyeaXlfo_1741 _IyeaXlfo_1751
{hline 78}

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}lgprice {c |}{res}        268     .141817    .4317987  -1.252763   1.203973
{txt}{stata `"shellout using `"TableA15C.tex"'"':TableA15C.tex}
{browse `"C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP"' :dir}{com} : {txt}{stata `"seeout using "TableA15C.txt""':seeout}

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jenny\Desktop\ReplicationJOP\HierarchicalOversight_JOP\LogAppendixTablesFigures.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 3 Jun 2021, 10:26:54
{txt}{.-}
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{txt}{sf}{ul off}